From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer

Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis. Late diagnosis is common due to a lack of early symptoms, specific markers, and the challenging location of the pancreas. Imaging technologies have improved diagnosis, but there is still room for improveme...

Full description

Saved in:
Bibliographic Details
Published inDiagnostics (Basel) Vol. 14; no. 2; p. 174
Main Authors Tripathi, Satvik, Tabari, Azadeh, Mansur, Arian, Dabbara, Harika, Bridge, Christopher P., Daye, Dania
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 01.01.2024
Subjects
Algorithms
Artificial intelligence
artificial intelligence (AI)
artificial neural network (ANN)
Cancer
Cancer research
Care and treatment
Clinical outcomes
Clustering
Computational linguistics
Datasets
Deep learning
Diagnosis
Disease
Electronic health records
Forecasts and trends
future perspectives
Health care reform
Language processing
Machine learning
machine learning (ML)
Medical coding
Medical imaging
Medical imaging equipment
Medical personnel
Medical prognosis
Medical research
Natural language interfaces
Natural language processing
Neural networks
pancreatic adenocarcinoma (PAC)
Pancreatic cancer
Patient outcomes
Patients
Precision medicine
Prognosis
review
Support vector machines
Tomography
Tumors
artificial neural network (ANN)
machine learning (ML)
pancreatic adenocarcinoma (PAC)
artificial intelligence (AI)
review
future perspectives
Online AccessGet full text
ISSN2075-4418
2075-4418
DOI10.3390/diagnostics14020174

Cover

Abstract Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis. Late diagnosis is common due to a lack of early symptoms, specific markers, and the challenging location of the pancreas. Imaging technologies have improved diagnosis, but there is still room for improvement in standardizing guidelines. Biopsies and histopathological analysis are challenging due to tumor heterogeneity. Artificial Intelligence (AI) revolutionizes healthcare by improving diagnosis, treatment, and patient care. AI algorithms can analyze medical images with precision, aiding in early disease detection. AI also plays a role in personalized medicine by analyzing patient data to tailor treatment plans. It streamlines administrative tasks, such as medical coding and documentation, and provides patient assistance through AI chatbots. However, challenges include data privacy, security, and ethical considerations. This review article focuses on the potential of AI in transforming pancreatic cancer care, offering improved diagnostics, personalized treatments, and operational efficiency, leading to better patient outcomes.
AbstractList Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis. Late diagnosis is common due to a lack of early symptoms, specific markers, and the challenging location of the pancreas. Imaging technologies have improved diagnosis, but there is still room for improvement in standardizing guidelines. Biopsies and histopathological analysis are challenging due to tumor heterogeneity. Artificial Intelligence (AI) revolutionizes healthcare by improving diagnosis, treatment, and patient care. AI algorithms can analyze medical images with precision, aiding in early disease detection. AI also plays a role in personalized medicine by analyzing patient data to tailor treatment plans. It streamlines administrative tasks, such as medical coding and documentation, and provides patient assistance through AI chatbots. However, challenges include data privacy, security, and ethical considerations. This review article focuses on the potential of AI in transforming pancreatic cancer care, offering improved diagnostics, personalized treatments, and operational efficiency, leading to better patient outcomes.Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis. Late diagnosis is common due to a lack of early symptoms, specific markers, and the challenging location of the pancreas. Imaging technologies have improved diagnosis, but there is still room for improvement in standardizing guidelines. Biopsies and histopathological analysis are challenging due to tumor heterogeneity. Artificial Intelligence (AI) revolutionizes healthcare by improving diagnosis, treatment, and patient care. AI algorithms can analyze medical images with precision, aiding in early disease detection. AI also plays a role in personalized medicine by analyzing patient data to tailor treatment plans. It streamlines administrative tasks, such as medical coding and documentation, and provides patient assistance through AI chatbots. However, challenges include data privacy, security, and ethical considerations. This review article focuses on the potential of AI in transforming pancreatic cancer care, offering improved diagnostics, personalized treatments, and operational efficiency, leading to better patient outcomes.
Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis. Late diagnosis is common due to a lack of early symptoms, specific markers, and the challenging location of the pancreas. Imaging technologies have improved diagnosis, but there is still room for improvement in standardizing guidelines. Biopsies and histopathological analysis are challenging due to tumor heterogeneity. Artificial Intelligence (AI) revolutionizes healthcare by improving diagnosis, treatment, and patient care. AI algorithms can analyze medical images with precision, aiding in early disease detection. AI also plays a role in personalized medicine by analyzing patient data to tailor treatment plans. It streamlines administrative tasks, such as medical coding and documentation, and provides patient assistance through AI chatbots. However, challenges include data privacy, security, and ethical considerations. This review article focuses on the potential of AI in transforming pancreatic cancer care, offering improved diagnostics, personalized treatments, and operational efficiency, leading to better patient outcomes.
Audience Academic
Author Tripathi, Satvik
Tabari, Azadeh
Dabbara, Harika
Mansur, Arian
Bridge, Christopher P.
Daye, Dania
Author_xml – sequence: 1
  givenname: Satvik
  orcidid: 0000-0001-6214-1464
  surname: Tripathi
  fullname: Tripathi, Satvik
– sequence: 2
  givenname: Azadeh
  orcidid: 0000-0002-5685-6401
  surname: Tabari
  fullname: Tabari, Azadeh
– sequence: 3
  givenname: Arian
  orcidid: 0000-0003-2406-5127
  surname: Mansur
  fullname: Mansur, Arian
– sequence: 4
  givenname: Harika
  surname: Dabbara
  fullname: Dabbara, Harika
– sequence: 5
  givenname: Christopher P.
  surname: Bridge
  fullname: Bridge, Christopher P.
– sequence: 6
  givenname: Dania
  surname: Daye
  fullname: Daye, Dania
BackLink https://www.ncbi.nlm.nih.gov/pubmed/38248051$$D View this record in MEDLINE/PubMed
BookMark eNqNklFrFDEQxxep2Fr7CQQJ-OLL1WST3GZ9O45WD04qom9CmE0m15Td5Ex2W_rtzXm11FLEhJAw_P7_zAzzsjoIMWBVvWb0lPOWvrceNiHm0ZvMBK0pa8Sz6qimjZwJwdTBg_dhdZLzFS2rZVzV8kV1WC6hqGRH1Y_zFAfyGcylD0jWCCn4sCFjJF9g9BhGcjGNJg6YP5AFWcZhm_ASQ_bXSL7itccbEh1ZrIgPRRFMwiIzZFmemF5Vzx30GU_u7uPq-_nZt-Wn2fri42q5WM-MZGycSWMbwBqctE7wxlID5VBGOylVZ1jDWQ0GBLRm7jrTMdtRKQXWLUXFmeHH1WrvayNc6W3yA6RbHcHr34GYNhpSSatHzYE52lEnpKgFCKcaAcaioTiXVtWueIm91xS2cHsDfX9vyKje9V4_0fsie7eXbVP8OWEe9eCzwb6HgHHKum5ZI2VLuSzo20foVZxSKA3aUWqu6PwhtYGStg8ujgnMzlQvGkVVw9uGFur0Capsi4M3ZWScL_G_BG_uPp-6Ae19bX8mogB8D5gUc07o_rP89pHK-LFMQgwlH9__U_sL0QPerg
CitedBy_id crossref_primary_10_1016_j_igie_2024_06_006
crossref_primary_10_26416_OnHe_69_4_2024_10351
crossref_primary_10_1016_j_ejso_2024_108577
crossref_primary_10_3390_cancers16111975
crossref_primary_10_3390_diagnostics14192174
crossref_primary_10_7759_cureus_72646
crossref_primary_10_3390_cancers17061048
crossref_primary_10_1007_s10462_024_10873_5
crossref_primary_10_1039_D4MO00187G
crossref_primary_10_3390_cancers16091686
crossref_primary_10_2139_ssrn_4785683
crossref_primary_10_3390_jpm14080877
crossref_primary_10_3389_fonc_2025_1475893
Cites_doi 10.1016/S2589-7500(22)00063-2
10.1016/j.pan.2021.03.016
10.1186/s12859-023-05322-z
10.1016/j.ejmp.2021.02.006
10.1097/MPA.0000000000001762
10.1038/nrgastro.2011.2
10.1186/1471-2105-12-S8-S2
10.3390/jcm10163589
10.18653/v1/E17-2110
10.1186/s12913-022-08215-8
10.1016/j.cell.2023.02.014
10.1186/s12910-021-00687-3
10.1016/j.addr.2021.113844
10.3389/fonc.2021.665929
10.1056/NEJMra1814259
10.1308/147870804290
10.1007/s11831-021-09648-w
10.1016/S2589-7500(19)30123-2
10.1186/s12864-015-1717-8
10.2214/ajr.182.3.1820619
10.1016/j.media.2021.102342
10.4324/9780429329067
10.1038/s42256-019-0088-2
10.3389/fimmu.2022.972298
10.1038/s41591-023-02332-5
10.1038/s41571-020-0417-8
10.1038/s41421-021-00366-y
10.1186/s13244-020-00861-y
10.1093/bib/bbab454
10.1038/s41467-023-40024-3
10.2196/18599
10.1016/j.tibtech.2019.12.021
10.1145/3173574.3174209
10.1038/nature16965
10.1002/mp.15437
10.1093/jamia/ocy072
10.1016/S2468-1253(19)30416-9
10.1259/bjr.20190580
10.1038/s43018-022-00349-2
10.1038/nrg1768
10.3233/CBM-210273
10.3389/fonc.2019.00246
10.1201/9781003129783
10.1038/s41591-021-01614-0
10.3390/diagnostics13132183
10.1001/jamasurg.2017.2227
10.3390/jpm13060951
10.1148/radiol.220152
10.2174/0929867328666210208111821
10.1038/s41575-021-00470-0
10.1038/s41591-018-0300-7
10.1038/s41598-022-07111-9
10.1109/TMI.2016.2528162
10.1016/S2589-7500(21)00086-8
10.1001/amajethics.2019.121
10.1002/sim.3720
10.1016/j.jbi.2019.103301
10.3322/caac.21660
10.1038/nm.3967
10.1007/s00330-022-09315-z
10.1158/0008-5472.CAN-14-0155
10.3389/fonc.2022.973999
10.1016/j.artmed.2020.101965
10.1109/BRACIS.2016.027
10.1117/1.JMI.9.2.024002
10.1109/JPROC.2020.3004555
10.1001/jama.2019.18058
10.3233/CBM-210301
10.3390/cancers12030603
10.3390/cancers14143498
10.1158/2159-8290.CD-22-0876
10.1136/jitc-2022-005292
10.1200/JCO.22.01134
10.1148/radiol.2020200038
10.1155/2018/7068349
10.1038/ng.3398
10.1109/JPROC.2021.3054390
10.1016/j.oraloncology.2018.10.026
10.1049/iet-ipr.2019.1041
10.1016/j.ccell.2022.07.004
10.1155/2022/2872461
10.1007/978-3-030-01424-7_27
10.1007/s43681-021-00131-7
10.1093/bioinformatics/btz342
10.3390/diagnostics11050901
10.1016/j.artmed.2023.102659
10.1186/s12916-022-02258-8
10.1016/j.bpg.2016.10.013
10.2214/AJR.22.27873
10.1007/978-3-030-45529-3
10.3390/cancers14215382
10.1016/j.jik.2023.100333
10.3390/s23020634
10.1038/s41586-020-2766-y
10.1097/MPA.0000000000001499
10.1017/9781139061773
10.3390/cancers13040895
10.3748/wjg.v24.i43.4846
10.1148/radiol.10091819
10.3390/cancers12113309
10.1109/ACCESS.2023.3283216
10.1016/S1076-6332(03)80186-1
10.1097/MPA.0000000000001882
10.1038/s41746-020-0288-5
10.3389/fsurg.2022.862322
10.1155/2022/8979404
10.1038/s41598-023-36886-8
10.1177/1533033819873922
10.1155/2022/3124122
10.1016/j.procs.2015.04.221
10.7326/M18-1990
10.1053/j.seminoncol.2016.09.002
10.1111/hpb.12375
10.1186/s12911-023-02103-9
10.1038/s41598-021-95152-x
10.1109/TRPMS.2021.3107454
10.3748/wjg.v27.i32.5306
10.1001/jamanetworkopen.2022.16199
10.1016/j.canep.2018.12.001
10.3390/cancers14153803
10.1016/j.tacc.2021.02.007
10.1016/j.jbi.2020.103655
10.1016/j.media.2017.07.005
10.1097/SLA.0000000000005465
10.1007/978-981-19-5272-2
10.1158/2159-8290.CD-21-0090
10.1007/978-3-319-97982-3_16
10.1038/s41551-023-01056-8
10.1002/cam4.5578
10.1093/jamia/ocx138
10.1038/nrdp.2016.22
10.1158/0008-5472.CAN-19-0579
10.1201/9780367229184
10.1016/j.patter.2022.100493
10.1093/jamia/ocz192
10.1007/978-3-030-01252-6_17
10.1038/s41379-020-00683-9
10.1093/jamia/ocaa094
10.1016/S0140-6736(16)32409-6
10.1197/jamia.M2844
10.1097/MOG.0000000000000966
10.1186/s13036-023-00340-0
10.1038/s41568-018-0016-5
10.2196/25759
10.1007/s40192-017-0093-4
10.1186/s12885-023-10675-y
10.1186/s12916-019-1426-2
10.1007/s43681-022-00227-8
10.1016/j.jacr.2023.06.015
10.7150/thno.77949
10.3390/cancers15133392
10.3390/diagnostics10040231
10.1038/s41379-021-00919-2
10.1053/j.gastro.2022.06.066
10.1016/j.jaci.2019.12.897
10.1158/1055-9965.EPI-20-0075
10.1056/NEJMoa1011923
10.3390/diagnostics13020286
10.1109/ISBI.2019.8759268
10.1038/s41591-021-01595-0
10.1097/SLA.0000000000002234
10.1007/978-3-030-40850-3
10.1016/B978-0-12-818438-7.00002-2
10.1016/j.inffus.2023.101805
10.1172/JCI148550
10.1038/s43856-022-00199-0
10.1093/nar/gkt441
ContentType Journal Article
Copyright COPYRIGHT 2024 MDPI AG
2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: COPYRIGHT 2024 MDPI AG
– notice: 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
NPM
3V.
7XB
8FK
8G5
ABUWG
AFKRA
AZQEC
BENPR
CCPQU
DWQXO
GNUQQ
GUQSH
M2O
MBDVC
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQQKQ
PQUKI
Q9U
7X8
ADTOC
UNPAY
DOA
DOI 10.3390/diagnostics14020174
DatabaseName CrossRef
PubMed
ProQuest Central (Corporate)
ProQuest Central (purchase pre-March 2016)
ProQuest Central (Alumni) (purchase pre-March 2016)
Research Library
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
ProQuest One Community College
ProQuest Central
ProQuest Central Student
Research Library Prep
Research Library
Research Library (Corporate)
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central Basic
MEDLINE - Academic
Unpaywall for CDI: Periodical Content
Unpaywall
Directory of Open Access Journals
DatabaseTitle CrossRef
PubMed
Publicly Available Content Database
Research Library Prep
ProQuest Central Student
ProQuest One Academic Middle East (New)
ProQuest Central Basic
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
ProQuest Central (Alumni Edition)
ProQuest One Community College
Research Library (Alumni Edition)
ProQuest Central
ProQuest One Academic UKI Edition
ProQuest Central Korea
ProQuest Research Library
ProQuest Central (New)
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic

PubMed
CrossRef

Publicly Available Content Database
Database_xml – sequence: 1
  dbid: DOA
  name: Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: UNPAY
  name: Unpaywall
  url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/
  sourceTypes: Open Access Repository
– sequence: 4
  dbid: BENPR
  name: ProQuest Central
  url: http://www.proquest.com/pqcentral?accountid=15518
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 2075-4418
ExternalDocumentID oai_doaj_org_article_3a1f0b0f45424a4f874acdec0e65d82f
10.3390/diagnostics14020174
A780873970
38248051
10_3390_diagnostics14020174
Genre Journal Article
Review
GroupedDBID 53G
5VS
8G5
AADQD
AAFWJ
AAYXX
ABDBF
ABUWG
ACUHS
ADBBV
AFKRA
AFPKN
AFZYC
ALMA_UNASSIGNED_HOLDINGS
AOIJS
AZQEC
BCNDV
BENPR
BPHCQ
CCPQU
CITATION
DWQXO
EBD
ESX
GNUQQ
GROUPED_DOAJ
GUQSH
HYE
IAO
IHR
ITC
KQ8
M2O
M48
MODMG
M~E
OK1
PGMZT
PHGZM
PHGZT
PIMPY
PQQKQ
PROAC
RPM
NPM
3V.
7XB
8FK
MBDVC
PKEHL
PQEST
PQUKI
Q9U
7X8
PUEGO
ADRAZ
ADTOC
IPNFZ
RIG
UNPAY
ID FETCH-LOGICAL-c511t-5cd7ae2af5df437d0cad0c010b558bc17312aca4a9c6fbcb1db0554e290e831c3
IEDL.DBID DOA
ISSN 2075-4418
IngestDate Fri Oct 03 12:44:38 EDT 2025
Sun Oct 26 04:09:53 EDT 2025
Fri Sep 05 14:33:41 EDT 2025
Mon Jun 30 14:08:45 EDT 2025
Tue Jun 17 22:21:31 EDT 2025
Mon Oct 20 17:09:06 EDT 2025
Mon Jul 21 05:32:13 EDT 2025
Thu Apr 24 23:01:39 EDT 2025
Thu Oct 16 04:34:15 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Keywords artificial neural network (ANN)
machine learning (ML)
pancreatic adenocarcinoma (PAC)
artificial intelligence (AI)
review
future perspectives
Language English
License cc-by
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c511t-5cd7ae2af5df437d0cad0c010b558bc17312aca4a9c6fbcb1db0554e290e831c3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
ORCID 0000-0003-2406-5127
0000-0002-5685-6401
0000-0001-6214-1464
OpenAccessLink https://doaj.org/article/3a1f0b0f45424a4f874acdec0e65d82f
PMID 38248051
PQID 2918680635
PQPubID 2032410
ParticipantIDs doaj_primary_oai_doaj_org_article_3a1f0b0f45424a4f874acdec0e65d82f
unpaywall_primary_10_3390_diagnostics14020174
proquest_miscellaneous_2917559035
proquest_journals_2918680635
gale_infotracmisc_A780873970
gale_infotracacademiconefile_A780873970
pubmed_primary_38248051
crossref_primary_10_3390_diagnostics14020174
crossref_citationtrail_10_3390_diagnostics14020174
PublicationCentury 2000
PublicationDate 2024-01-01
PublicationDateYYYYMMDD 2024-01-01
PublicationDate_xml – month: 01
  year: 2024
  text: 2024-01-01
  day: 01
PublicationDecade 2020
PublicationPlace Switzerland
PublicationPlace_xml – name: Switzerland
– name: Basel
PublicationTitle Diagnostics (Basel)
PublicationTitleAlternate Diagnostics (Basel)
PublicationYear 2024
Publisher MDPI AG
Publisher_xml – name: MDPI AG
References Ali (ref_165) 2023; 99
Ramesh (ref_26) 2004; 86
ref_136
Moffitt (ref_32) 2015; 47
ref_139
Straw (ref_178) 2020; 110
Sung (ref_2) 2021; 71
ref_90
Chen (ref_98) 2020; 49
ref_12
Mukherjee (ref_181) 2022; 163
ref_11
Karimian (ref_16) 2022; 2
Kenner (ref_19) 2021; 50
ref_99
Tripathi (ref_170) 2023; 20
Jobin (ref_180) 2019; 1
Mahmoudi (ref_68) 2022; 12
ref_135
Yin (ref_25) 2022; 12
ref_134
ref_17
Reddy (ref_172) 2019; 27
Kearney (ref_110) 2018; 87
Koh (ref_141) 2022; 2
McGuigan (ref_3) 2018; 24
Dinesh (ref_42) 2023; 13
Gichoya (ref_158) 2022; 4
Qureshi (ref_96) 2022; 9
Zhuang (ref_77) 2021; 109
Ho (ref_122) 2020; 38
Bailey (ref_39) 2016; 531
ref_127
Placido (ref_46) 2023; 29
Juiz (ref_103) 2019; 9
Keogan (ref_24) 2002; 9
ref_20
ref_121
Aier (ref_102) 2019; 58
Baxi (ref_7) 2022; 35
Huang (ref_18) 2022; 12
Torii (ref_51) 2009; 16
Castiglioni (ref_91) 2021; 83
Locke (ref_47) 2021; 38
Wong (ref_70) 2021; 11
Chen (ref_92) 2023; 7
Conroy (ref_145) 2011; 364
Neoptolemos (ref_146) 2017; 389
ref_79
ref_78
Zhang (ref_38) 2022; 13
Ledesma (ref_124) 2021; 28
ref_76
Pereira (ref_130) 2020; 5
Tang (ref_137) 2023; 12
Elbanna (ref_6) 2020; 11
Adam (ref_160) 2020; 586
Mikdadi (ref_128) 2022; 33
ref_83
Savova (ref_61) 2019; 79
ref_81
Topol (ref_14) 2019; 25
ref_80
Kim (ref_109) 2023; 33
Halbrook (ref_155) 2023; 186
Pianykh (ref_161) 2020; 297
Ali (ref_138) 2023; 8
ref_140
ref_89
ref_142
ref_88
Fu (ref_116) 2022; 6
Cheerla (ref_133) 2019; 35
Shah (ref_72) 2015; 49
ref_86
ref_85
Xiao (ref_123) 2021; 176
Lemberg (ref_154) 2022; 132
ref_84
Singhi (ref_129) 2021; 18
Rahib (ref_1) 2014; 74
Stanzione (ref_115) 2021; 27
Hosein (ref_153) 2022; 3
Guinney (ref_30) 2015; 21
Janssen (ref_10) 2021; 34
Li (ref_119) 2022; 49
Hosny (ref_67) 2018; 18
Marin (ref_73) 2010; 256
Wang (ref_112) 2019; 18
Babic (ref_97) 2023; 14
DeCamp (ref_176) 2020; 27
Shin (ref_82) 2016; 35
Dercle (ref_120) 2022; 10
Yao (ref_131) 2023; 278
Brough (ref_34) 2017; 6
Huang (ref_125) 2018; 15
Tripathi (ref_162) 2022; 3
Schneider (ref_152) 2023; 13
Zhang (ref_29) 2020; 14
Li (ref_75) 2023; 31
ref_58
ref_173
ref_57
Bhinder (ref_95) 2021; 11
Akbarian (ref_87) 2023; 11
ref_177
Yao (ref_132) 2023; 39
ref_179
Rigby (ref_174) 2019; 21
Bronstein (ref_71) 2004; 182
Cloyd (ref_148) 2017; 152
ref_59
Rajpurkar (ref_27) 2022; 28
Lin (ref_105) 2021; 3
ref_60
Qiao (ref_23) 2022; 2022
Zhang (ref_159) 2021; 27
Chan (ref_111) 2020; 93
Zech (ref_107) 2022; 219
ref_164
ref_163
Zhou (ref_66) 2021; 109
ref_166
ref_63
Petersen (ref_149) 2016; 43
Fan (ref_37) 2022; 8
Dey (ref_167) 2022; 3
Cirillo (ref_169) 2020; 3
ref_171
Juhn (ref_54) 2020; 145
Lu (ref_53) 2011; 12
Litjens (ref_65) 2017; 42
Kleeff (ref_143) 2016; 2
Laranjo (ref_15) 2018; 25
ref_114
Matthaei (ref_151) 2011; 8
Liu (ref_13) 2019; 1
Chen (ref_44) 2023; 306
Kumar (ref_93) 2022; 29
Gillies (ref_100) 2020; 29
Rajkomar (ref_168) 2018; 169
ref_36
ref_35
ref_33
Fu (ref_9) 2021; 11
Voulodimos (ref_64) 2018; 2018
ref_31
Li (ref_69) 2022; 78
Suman (ref_156) 2021; 21
Lawrence (ref_118) 2022; 5
Sheikhalishahi (ref_108) 2023; 144
Naik (ref_175) 2022; 9
Zhang (ref_94) 2023; 10
Althobaiti (ref_74) 2022; 2022
Jensen (ref_50) 2006; 7
Rajkomar (ref_28) 2019; 380
Kenner (ref_55) 2021; 50
Sohn (ref_62) 2018; 25
Groot (ref_144) 2018; 267
Zhao (ref_21) 2009; 28
Tempero (ref_147) 2023; 41
Overbeek (ref_150) 2016; 30
Roch (ref_56) 2015; 17
Parikh (ref_157) 2019; 322
ref_45
Yin (ref_104) 2021; 23
Tenenbaum (ref_113) 2011; 32
ref_43
ref_41
ref_101
Qureshi (ref_22) 2022; 33
Choudhury (ref_106) 2020; 8
Ke (ref_40) 2022; 2022
ref_49
ref_48
Wei (ref_52) 2013; 41
Huynh (ref_117) 2020; 17
Chen (ref_126) 2022; 40
ref_8
ref_5
ref_4
References_xml – volume: 4
  start-page: e406
  year: 2022
  ident: ref_158
  article-title: AI Recognition of Patient Race in Medical Imaging: A Modelling Study
  publication-title: Lancet Digit. Health
  doi: 10.1016/S2589-7500(22)00063-2
– volume: 21
  start-page: 1001
  year: 2021
  ident: ref_156
  article-title: Quality Gaps in Public Pancreas Imaging Datasets: Implications & Challenges for AI Applications
  publication-title: Pancreatology
  doi: 10.1016/j.pan.2021.03.016
– ident: ref_45
  doi: 10.1186/s12859-023-05322-z
– ident: ref_80
– volume: 83
  start-page: 9
  year: 2021
  ident: ref_91
  article-title: AI Applications to Medical Images: From Machine Learning to Deep Learning
  publication-title: Phys. Med.
  doi: 10.1016/j.ejmp.2021.02.006
– volume: 50
  start-page: 251
  year: 2021
  ident: ref_19
  article-title: Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review
  publication-title: Pancreas
  doi: 10.1097/MPA.0000000000001762
– volume: 8
  start-page: 141
  year: 2011
  ident: ref_151
  article-title: Cystic Precursors to Invasive Pancreatic Cancer
  publication-title: Nat. Rev. Gastroenterol. Hepatol.
  doi: 10.1038/nrgastro.2011.2
– volume: 12
  start-page: S2
  year: 2011
  ident: ref_53
  article-title: The Gene Normalization Task in BioCreative III
  publication-title: BMC Bioinform.
  doi: 10.1186/1471-2105-12-S8-S2
– ident: ref_136
  doi: 10.3390/jcm10163589
– ident: ref_63
  doi: 10.18653/v1/E17-2110
– ident: ref_142
  doi: 10.1186/s12913-022-08215-8
– volume: 186
  start-page: 1729
  year: 2023
  ident: ref_155
  article-title: Pancreatic Cancer: Advances and Challenges
  publication-title: Cell
  doi: 10.1016/j.cell.2023.02.014
– ident: ref_171
  doi: 10.1186/s12910-021-00687-3
– volume: 176
  start-page: 113844
  year: 2021
  ident: ref_123
  article-title: High-Throughput Proteomics and AI for Cancer Biomarker Discovery
  publication-title: Adv. Drug Deliv. Rev.
  doi: 10.1016/j.addr.2021.113844
– volume: 11
  start-page: 665929
  year: 2021
  ident: ref_9
  article-title: Automatic Pancreatic Ductal Adenocarcinoma Detection in Whole Slide Images Using Deep Convolutional Neural Networks
  publication-title: Front. Oncol.
  doi: 10.3389/fonc.2021.665929
– volume: 380
  start-page: 1347
  year: 2019
  ident: ref_28
  article-title: Machine Learning in Medicine
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMra1814259
– volume: 86
  start-page: 334
  year: 2004
  ident: ref_26
  article-title: Artificial Intelligence in Medicine
  publication-title: Ann. R. Coll. Surg. Engl.
  doi: 10.1308/147870804290
– volume: 29
  start-page: 2043
  year: 2022
  ident: ref_93
  article-title: A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis
  publication-title: Arch. Comput. Methods Eng.
  doi: 10.1007/s11831-021-09648-w
– volume: 1
  start-page: e271
  year: 2019
  ident: ref_13
  article-title: A Comparison of Deep Learning Performance against Health-Care Professionals in Detecting Diseases from Medical Imaging: A Systematic Review and Meta-Analysis
  publication-title: Lancet Digit Health
  doi: 10.1016/S2589-7500(19)30123-2
– volume: 10
  start-page: 22
  year: 2023
  ident: ref_94
  article-title: Artificial Intelligence-Driven Radiomics Study in Cancer: The Role of Feature Engineering and Modeling
  publication-title: Mil. Med. Res.
– ident: ref_33
  doi: 10.1186/s12864-015-1717-8
– volume: 182
  start-page: 619
  year: 2004
  ident: ref_71
  article-title: Detection of Small Pancreatic Tumors with Multiphasic Helical CT
  publication-title: AJR Am. J. Roentgenol.
  doi: 10.2214/ajr.182.3.1820619
– volume: 78
  start-page: 102342
  year: 2022
  ident: ref_69
  article-title: A Dual Meta-Learning Framework Based on Idle Data for Enhancing Segmentation of Pancreatic Cancer
  publication-title: Med. Image Anal.
  doi: 10.1016/j.media.2021.102342
– ident: ref_179
  doi: 10.4324/9780429329067
– volume: 1
  start-page: 389
  year: 2019
  ident: ref_180
  article-title: The Global Landscape of AI Ethics Guidelines
  publication-title: Nat. Mach. Intell.
  doi: 10.1038/s42256-019-0088-2
– volume: 13
  start-page: 972298
  year: 2022
  ident: ref_38
  article-title: Single-Cell Sequencing Reveals Heterogeneity between Pancreatic Adenosquamous Carcinoma and Pancreatic Ductal Adenocarcinoma with Prognostic Value
  publication-title: Front. Immunol.
  doi: 10.3389/fimmu.2022.972298
– volume: 29
  start-page: 1113
  year: 2023
  ident: ref_46
  article-title: A Deep Learning Algorithm to Predict Risk of Pancreatic Cancer from Disease Trajectories
  publication-title: Nat. Med.
  doi: 10.1038/s41591-023-02332-5
– ident: ref_48
– volume: 17
  start-page: 771
  year: 2020
  ident: ref_117
  article-title: Artificial Intelligence in Radiation Oncology
  publication-title: Nat. Rev. Clin. Oncol.
  doi: 10.1038/s41571-020-0417-8
– volume: 8
  start-page: 13
  year: 2022
  ident: ref_37
  article-title: Integrated Single-Cell Multiomics Analysis Reveals Novel Candidate Markers for Prognosis in Human Pancreatic Ductal Adenocarcinoma
  publication-title: Cell Discov.
  doi: 10.1038/s41421-021-00366-y
– volume: 11
  start-page: 58
  year: 2020
  ident: ref_6
  article-title: Imaging Diagnosis and Staging of Pancreatic Ductal Adenocarcinoma: A Comprehensive Review
  publication-title: Insights Imaging
  doi: 10.1186/s13244-020-00861-y
– ident: ref_99
  doi: 10.1093/bib/bbab454
– volume: 14
  start-page: 4317
  year: 2023
  ident: ref_97
  article-title: Adipose Tissue and Skeletal Muscle Wasting Precede Clinical Diagnosis of Pancreatic Cancer
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-023-40024-3
– volume: 8
  start-page: e18599
  year: 2020
  ident: ref_106
  article-title: Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review
  publication-title: JMIR Med. Inform.
  doi: 10.2196/18599
– volume: 38
  start-page: 497
  year: 2020
  ident: ref_122
  article-title: Enabling Technologies for Personalized and Precision Medicine
  publication-title: Trends Biotechnol.
  doi: 10.1016/j.tibtech.2019.12.021
– ident: ref_35
  doi: 10.1145/3173574.3174209
– volume: 531
  start-page: 47
  year: 2016
  ident: ref_39
  article-title: Genomic Analyses Identify Molecular Subtypes of Pancreatic Cancer
  publication-title: Nature
  doi: 10.1038/nature16965
– volume: 49
  start-page: 1535
  year: 2022
  ident: ref_119
  article-title: Deep Learning-Based AI Model for Signet-Ring Cell Carcinoma Diagnosis and Chemotherapy Response Prediction in Gastric Cancer
  publication-title: Med. Phys.
  doi: 10.1002/mp.15437
– volume: 25
  start-page: 1248
  year: 2018
  ident: ref_15
  article-title: Conversational Agents in Healthcare: A Systematic Review
  publication-title: J. Am. Med. Inform. Assoc.
  doi: 10.1093/jamia/ocy072
– volume: 5
  start-page: 698
  year: 2020
  ident: ref_130
  article-title: Early Detection of Pancreatic Cancer
  publication-title: Lancet Gastroenterol. Hepatol.
  doi: 10.1016/S2468-1253(19)30416-9
– volume: 93
  start-page: 20190580
  year: 2020
  ident: ref_111
  article-title: CAD and AI for Breast Cancer—Recent Development and Challenges
  publication-title: BJR Suppl.
  doi: 10.1259/bjr.20190580
– volume: 3
  start-page: 272
  year: 2022
  ident: ref_153
  article-title: Translational Advances in Pancreatic Ductal Adenocarcinoma Therapy
  publication-title: Nat. Cancer
  doi: 10.1038/s43018-022-00349-2
– volume: 7
  start-page: 119
  year: 2006
  ident: ref_50
  article-title: Literature Mining for the Biologist: From Information Retrieval to Biological Discovery
  publication-title: Nat. Rev. Genet.
  doi: 10.1038/nrg1768
– volume: 33
  start-page: 211
  year: 2022
  ident: ref_22
  article-title: Predicting Pancreatic Ductal Adenocarcinoma Using Artificial Intelligence Analysis of Pre-Diagnostic Computed Tomography Images
  publication-title: Cancer Biomark.
  doi: 10.3233/CBM-210273
– volume: 9
  start-page: 246
  year: 2019
  ident: ref_103
  article-title: Pancreatic Cancer Heterogeneity Can Be Explained Beyond the Genome
  publication-title: Front. Oncol.
  doi: 10.3389/fonc.2019.00246
– ident: ref_121
  doi: 10.1201/9781003129783
– volume: 28
  start-page: 31
  year: 2022
  ident: ref_27
  article-title: AI in Health and Medicine
  publication-title: Nat. Med.
  doi: 10.1038/s41591-021-01614-0
– ident: ref_135
  doi: 10.3390/diagnostics13132183
– ident: ref_11
– volume: 152
  start-page: 1048
  year: 2017
  ident: ref_148
  article-title: Association of Clinical Factors With a Major Pathologic Response Following Preoperative Therapy for Pancreatic Ductal Adenocarcinoma
  publication-title: JAMA Surg.
  doi: 10.1001/jamasurg.2017.2227
– ident: ref_139
  doi: 10.3390/jpm13060951
– ident: ref_177
– volume: 306
  start-page: 172
  year: 2023
  ident: ref_44
  article-title: Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-Based Study
  publication-title: Radiology
  doi: 10.1148/radiol.220152
– volume: 28
  start-page: 6512
  year: 2021
  ident: ref_124
  article-title: Advancements within Modern Machine Learning Methodology: Impacts and Prospects in Biomarker Discovery
  publication-title: Curr. Med. Chem.
  doi: 10.2174/0929867328666210208111821
– volume: 18
  start-page: 457
  year: 2021
  ident: ref_129
  article-title: Early Detection of Pancreatic Cancer Using DNA-Based Molecular Approaches
  publication-title: Nat. Rev. Gastroenterol. Hepatol.
  doi: 10.1038/s41575-021-00470-0
– volume: 25
  start-page: 44
  year: 2019
  ident: ref_14
  article-title: High-Performance Medicine: The Convergence of Human and Artificial Intelligence
  publication-title: Nat. Med.
  doi: 10.1038/s41591-018-0300-7
– volume: 12
  start-page: 3092
  year: 2022
  ident: ref_68
  article-title: Segmentation of Pancreatic Ductal Adenocarcinoma (PDAC) and Surrounding Vessels in CT Images Using Deep Convolutional Neural Networks and Texture Descriptors
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-022-07111-9
– volume: 35
  start-page: 1285
  year: 2016
  ident: ref_82
  article-title: Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
  publication-title: IEEE Trans. Med. Imaging
  doi: 10.1109/TMI.2016.2528162
– volume: 3
  start-page: e486
  year: 2021
  ident: ref_105
  article-title: Application of Comprehensive Artificial Intelligence Retinal Expert (CARE) System: A National Real-World Evidence Study
  publication-title: Lancet Digit Health
  doi: 10.1016/S2589-7500(21)00086-8
– volume: 21
  start-page: 121
  year: 2019
  ident: ref_174
  article-title: Ethical Dimensions of Using Artificial Intelligence in Health Care
  publication-title: AMA J. Ethics
  doi: 10.1001/amajethics.2019.121
– volume: 28
  start-page: 3294
  year: 2009
  ident: ref_21
  article-title: Reinforcement Learning Design for Cancer Clinical Trials
  publication-title: Stat. Med.
  doi: 10.1002/sim.3720
– ident: ref_60
  doi: 10.1016/j.jbi.2019.103301
– volume: 71
  start-page: 209
  year: 2021
  ident: ref_2
  article-title: Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries
  publication-title: CA Cancer J. Clin.
  doi: 10.3322/caac.21660
– volume: 21
  start-page: 1350
  year: 2015
  ident: ref_30
  article-title: The Consensus Molecular Subtypes of Colorectal Cancer
  publication-title: Nat. Med.
  doi: 10.1038/nm.3967
– volume: 33
  start-page: 3501
  year: 2023
  ident: ref_109
  article-title: Multicentre External Validation of a Commercial Artificial Intelligence Software to Analyse Chest Radiographs in Health Screening Environments with Low Disease Prevalence
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-022-09315-z
– volume: 74
  start-page: 2913
  year: 2014
  ident: ref_1
  article-title: Projecting Cancer Incidence and Deaths to 2030: The Unexpected Burden of Thyroid, Liver, and Pancreas Cancers in the United States
  publication-title: Cancer Res.
  doi: 10.1158/0008-5472.CAN-14-0155
– volume: 12
  start-page: 973999
  year: 2022
  ident: ref_25
  article-title: Research Trends of Artificial Intelligence in Pancreatic Cancer: A Bibliometric Analysis
  publication-title: Front. Oncol.
  doi: 10.3389/fonc.2022.973999
– volume: 110
  start-page: 101965
  year: 2020
  ident: ref_178
  article-title: The Automation of Bias in Medical Artificial Intelligence (AI): Decoding the Past to Create a Better Future
  publication-title: Artif. Intell. Med.
  doi: 10.1016/j.artmed.2020.101965
– ident: ref_86
  doi: 10.1109/BRACIS.2016.027
– volume: 9
  start-page: 024002
  year: 2022
  ident: ref_96
  article-title: Morphology-Guided Deep Learning Framework for Segmentation of Pancreas in Computed Tomography Images
  publication-title: J. Med. Imaging
  doi: 10.1117/1.JMI.9.2.024002
– volume: 109
  start-page: 43
  year: 2021
  ident: ref_77
  article-title: A Comprehensive Survey on Transfer Learning
  publication-title: Proc. IEEE
  doi: 10.1109/JPROC.2020.3004555
– volume: 322
  start-page: 2377
  year: 2019
  ident: ref_157
  article-title: Addressing Bias in Artificial Intelligence in Health Care
  publication-title: JAMA
  doi: 10.1001/jama.2019.18058
– volume: 33
  start-page: 173
  year: 2022
  ident: ref_128
  article-title: Applications of Artificial Intelligence (AI) in Ovarian Cancer, Pancreatic Cancer, and Image Biomarker Discovery
  publication-title: Cancer Biomark.
  doi: 10.3233/CBM-210301
– ident: ref_20
  doi: 10.3390/cancers12030603
– ident: ref_81
– ident: ref_5
  doi: 10.3390/cancers14143498
– volume: 13
  start-page: 278
  year: 2023
  ident: ref_152
  article-title: Context-Specific Determinants of the Immunosuppressive Tumor Microenvironment in Pancreatic Cancer
  publication-title: Cancer Discov.
  doi: 10.1158/2159-8290.CD-22-0876
– volume: 10
  start-page: e005292
  year: 2022
  ident: ref_120
  article-title: Artificial Intelligence and Radiomics: Fundamentals, Applications, and Challenges in Immunotherapy
  publication-title: J. Immunother. Cancer
  doi: 10.1136/jitc-2022-005292
– volume: 41
  start-page: 2007
  year: 2023
  ident: ref_147
  article-title: Adjuvant Nab-Paclitaxel + Gemcitabine in Resected Pancreatic Ductal Adenocarcinoma: Results From a Randomized, Open-Label, Phase III Trial
  publication-title: J. Clin. Oncol.
  doi: 10.1200/JCO.22.01134
– volume: 297
  start-page: 6
  year: 2020
  ident: ref_161
  article-title: Continuous Learning AI in Radiology: Implementation Principles and Early Applications
  publication-title: Radiology
  doi: 10.1148/radiol.2020200038
– volume: 2018
  start-page: 7068349
  year: 2018
  ident: ref_64
  article-title: Deep Learning for Computer Vision: A Brief Review
  publication-title: Comput. Intell. Neurosci.
  doi: 10.1155/2018/7068349
– volume: 47
  start-page: 1168
  year: 2015
  ident: ref_32
  article-title: Virtual Microdissection Identifies Distinct Tumor- and Stroma-Specific Subtypes of Pancreatic Ductal Adenocarcinoma
  publication-title: Nat. Genet.
  doi: 10.1038/ng.3398
– volume: 109
  start-page: 820
  year: 2021
  ident: ref_66
  article-title: A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises
  publication-title: Proc. IEEE
  doi: 10.1109/JPROC.2021.3054390
– volume: 87
  start-page: 111
  year: 2018
  ident: ref_110
  article-title: The Application of Artificial Intelligence in the IMRT Planning Process for Head and Neck Cancer
  publication-title: Oral Oncol.
  doi: 10.1016/j.oraloncology.2018.10.026
– volume: 14
  start-page: 1233
  year: 2020
  ident: ref_29
  article-title: Support Vector Machine Combined with Magnetic Resonance Imaging for Accurate Diagnosis of Paediatric Pancreatic Cancer
  publication-title: IET Image Proc.
  doi: 10.1049/iet-ipr.2019.1041
– volume: 40
  start-page: 865
  year: 2022
  ident: ref_126
  article-title: Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning
  publication-title: Cancer Cell
  doi: 10.1016/j.ccell.2022.07.004
– volume: 2022
  start-page: 2872461
  year: 2022
  ident: ref_74
  article-title: Design of Optimal Deep Learning-Based Pancreatic Tumor and Nontumor Classification Model Using Computed Tomography Scans
  publication-title: J. Healthc. Eng.
  doi: 10.1155/2022/2872461
– ident: ref_79
  doi: 10.1007/978-3-030-01424-7_27
– ident: ref_101
– volume: 2
  start-page: 539
  year: 2022
  ident: ref_16
  article-title: The Ethical Issues of the Application of Artificial Intelligence in Healthcare: A Systematic Scoping Review
  publication-title: AI Ethics
  doi: 10.1007/s43681-021-00131-7
– volume: 35
  start-page: i446
  year: 2019
  ident: ref_133
  article-title: Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btz342
– ident: ref_41
  doi: 10.3390/diagnostics11050901
– volume: 144
  start-page: 102659
  year: 2023
  ident: ref_108
  article-title: An Interpretable Deep Learning Model for Time-Series Electronic Health Records: Case Study of Delirium Prediction in Critical Care
  publication-title: Artif. Intell. Med.
  doi: 10.1016/j.artmed.2023.102659
– ident: ref_134
  doi: 10.1186/s12916-022-02258-8
– volume: 30
  start-page: 971
  year: 2016
  ident: ref_150
  article-title: Surveillance for Neoplasia in the Pancreas
  publication-title: Best Pract. Res. Clin. Gastroenterol.
  doi: 10.1016/j.bpg.2016.10.013
– volume: 219
  start-page: 869
  year: 2022
  ident: ref_107
  article-title: Artificial Intelligence (AI) for Fracture Diagnosis: An Overview of Current Products and Considerations for Clinical Adoption, From the AJR Special Series on AI Applications
  publication-title: AJR Am. J. Roentgenol.
  doi: 10.2214/AJR.22.27873
– ident: ref_88
  doi: 10.1007/978-3-030-45529-3
– ident: ref_4
  doi: 10.3390/cancers14215382
– volume: 8
  start-page: 100333
  year: 2023
  ident: ref_138
  article-title: A Systematic Literature Review of Artificial Intelligence in the Healthcare Sector: Benefits, Challenges, Methodologies, and Functionalities
  publication-title: J. Innov. Knowl.
  doi: 10.1016/j.jik.2023.100333
– ident: ref_78
– ident: ref_166
  doi: 10.3390/s23020634
– volume: 586
  start-page: E14
  year: 2020
  ident: ref_160
  article-title: Transparency and Reproducibility in Artificial Intelligence
  publication-title: Nature
  doi: 10.1038/s41586-020-2766-y
– volume: 49
  start-page: 413
  year: 2020
  ident: ref_98
  article-title: Prediction of Pancreatic Cancer Based on Imaging Features in Patients With Duct Abnormalities
  publication-title: Pancreas
  doi: 10.1097/MPA.0000000000001499
– ident: ref_84
– ident: ref_76
  doi: 10.1017/9781139061773
– ident: ref_8
  doi: 10.3390/cancers13040895
– volume: 24
  start-page: 4846
  year: 2018
  ident: ref_3
  article-title: Pancreatic Cancer: A Review of Clinical Diagnosis, Epidemiology, Treatment and Outcomes
  publication-title: World J. Gastroenterol.
  doi: 10.3748/wjg.v24.i43.4846
– volume: 256
  start-page: 450
  year: 2010
  ident: ref_73
  article-title: Detection of Pancreatic Tumors, Image Quality, and Radiation Dose during the Pancreatic Parenchymal Phase: Effect of a Low-Tube-Voltage, High-Tube-Current CT Technique--Preliminary Results
  publication-title: Radiology
  doi: 10.1148/radiol.10091819
– ident: ref_31
  doi: 10.3390/cancers12113309
– volume: 11
  start-page: 85812
  year: 2023
  ident: ref_87
  article-title: Evaluating Knowledge Transfer in the Neural Network for Medical Images
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2023.3283216
– volume: 9
  start-page: 410
  year: 2002
  ident: ref_24
  article-title: Outcome Analysis of Patients with Acute Pancreatitis by Using an Artificial Neural Network
  publication-title: Acad. Radiol.
  doi: 10.1016/S1076-6332(03)80186-1
– volume: 50
  start-page: 916
  year: 2021
  ident: ref_55
  article-title: Early Detection of Pancreatic Cancer: Applying Artificial Intelligence to Electronic Health Records
  publication-title: Pancreas
  doi: 10.1097/MPA.0000000000001882
– volume: 3
  start-page: 81
  year: 2020
  ident: ref_169
  article-title: Sex and Gender Differences and Biases in Artificial Intelligence for Biomedicine and Healthcare
  publication-title: NPJ Digit. Med.
  doi: 10.1038/s41746-020-0288-5
– volume: 9
  start-page: 862322
  year: 2022
  ident: ref_175
  article-title: Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility?
  publication-title: Front. Surg.
  doi: 10.3389/fsurg.2022.862322
– volume: 2022
  start-page: 8979404
  year: 2022
  ident: ref_23
  article-title: Artificial Intelligence Algorithm-Based Computerized Tomography Image Features Combined with Serum Tumor Markers for Diagnosis of Pancreatic Cancer
  publication-title: Comput. Math. Methods Med.
  doi: 10.1155/2022/8979404
– ident: ref_58
– volume: 13
  start-page: 9725
  year: 2023
  ident: ref_42
  article-title: Diagnostic Ability of Deep Learning in Detection of Pancreatic Tumour
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-023-36886-8
– volume: 18
  start-page: 1533033819873922
  year: 2019
  ident: ref_112
  article-title: Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future
  publication-title: Technol. Cancer Res. Treat.
  doi: 10.1177/1533033819873922
– volume: 2022
  start-page: 3124122
  year: 2022
  ident: ref_40
  article-title: Systematic Analysis of Molecular Subtypes Based on the Expression Profile of Immune-Related Genes in Pancreatic Cancer
  publication-title: Oxid. Med. Cell. Longev.
  doi: 10.1155/2022/3124122
– volume: 49
  start-page: 11
  year: 2015
  ident: ref_72
  article-title: Pancreatic Tumor Detection Using Image Processing
  publication-title: Procedia Comput. Sci.
  doi: 10.1016/j.procs.2015.04.221
– volume: 169
  start-page: 866
  year: 2018
  ident: ref_168
  article-title: Ensuring Fairness in Machine Learning to Advance Health Equity
  publication-title: Ann. Intern. Med.
  doi: 10.7326/M18-1990
– volume: 43
  start-page: 548
  year: 2016
  ident: ref_149
  article-title: Familial Pancreatic Cancer
  publication-title: Semin. Oncol.
  doi: 10.1053/j.seminoncol.2016.09.002
– volume: 17
  start-page: 447
  year: 2015
  ident: ref_56
  article-title: Automated Pancreatic Cyst Screening Using Natural Language Processing: A New Tool in the Early Detection of Pancreatic Cancer
  publication-title: HPB
  doi: 10.1111/hpb.12375
– ident: ref_173
  doi: 10.1186/s12911-023-02103-9
– volume: 11
  start-page: 16328
  year: 2021
  ident: ref_70
  article-title: Effects of Interobserver and Interdisciplinary Segmentation Variabilities on CT-Based Radiomics for Pancreatic Cancer
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-021-95152-x
– volume: 6
  start-page: 158
  year: 2022
  ident: ref_116
  article-title: Artificial Intelligence in Radiation Therapy
  publication-title: IEEE Trans. Radiat. Plasma Med. Sci.
  doi: 10.1109/TRPMS.2021.3107454
– volume: 27
  start-page: 5306
  year: 2021
  ident: ref_115
  article-title: Radiomics and Machine Learning Applications in Rectal Cancer: Current Update and Future Perspectives
  publication-title: World J. Gastroenterol.
  doi: 10.3748/wjg.v27.i32.5306
– volume: 5
  start-page: e2216199
  year: 2022
  ident: ref_118
  article-title: Comparison of FOLFIRINOX vs Gemcitabine Plus Nab-Paclitaxel as First-Line Chemotherapy for Metastatic Pancreatic Ductal Adenocarcinoma
  publication-title: JAMA Netw. Open
  doi: 10.1001/jamanetworkopen.2022.16199
– ident: ref_17
– volume: 58
  start-page: 104
  year: 2019
  ident: ref_102
  article-title: A Systematic Assessment of Statistics, Risk Factors, and Underlying Features Involved in Pancreatic Cancer
  publication-title: Cancer Epidemiol.
  doi: 10.1016/j.canep.2018.12.001
– ident: ref_114
  doi: 10.3390/cancers14153803
– volume: 38
  start-page: 4
  year: 2021
  ident: ref_47
  article-title: Natural Language Processing in Medicine: A Review
  publication-title: Trends Anaesth. Crit. Care
  doi: 10.1016/j.tacc.2021.02.007
– ident: ref_164
  doi: 10.1016/j.jbi.2020.103655
– volume: 42
  start-page: 60
  year: 2017
  ident: ref_65
  article-title: A Survey on Deep Learning in Medical Image Analysis
  publication-title: Med. Image Anal.
  doi: 10.1016/j.media.2017.07.005
– volume: 278
  start-page: e68
  year: 2023
  ident: ref_131
  article-title: Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study
  publication-title: Ann. Surg.
  doi: 10.1097/SLA.0000000000005465
– ident: ref_12
  doi: 10.1007/978-981-19-5272-2
– volume: 32
  start-page: 14
  year: 2011
  ident: ref_113
  article-title: Cancer: A Computational Disease That AI Can Cure
  publication-title: AI Mag.
– volume: 11
  start-page: 900
  year: 2021
  ident: ref_95
  article-title: Artificial Intelligence in Cancer Research and Precision Medicine
  publication-title: Cancer Discov.
  doi: 10.1158/2159-8290.CD-21-0090
– ident: ref_83
  doi: 10.1007/978-3-319-97982-3_16
– volume: 7
  start-page: 719
  year: 2023
  ident: ref_92
  article-title: Algorithmic Fairness in Artificial Intelligence for Medicine and Healthcare
  publication-title: Nat. Biomed. Eng.
  doi: 10.1038/s41551-023-01056-8
– volume: 12
  start-page: 7962
  year: 2023
  ident: ref_137
  article-title: Contrast-Enhanced Harmonic Endoscopic Ultrasound (CH-EUS) MASTER: A Novel Deep Learning-Based System in Pancreatic Mass Diagnosis
  publication-title: Cancer Med.
  doi: 10.1002/cam4.5578
– volume: 25
  start-page: 353
  year: 2018
  ident: ref_62
  article-title: Clinical Documentation Variations and NLP System Portability: A Case Study in Asthma Birth Cohorts across Institutions
  publication-title: J. Am. Med. Inform. Assoc.
  doi: 10.1093/jamia/ocx138
– volume: 2
  start-page: 16022
  year: 2016
  ident: ref_143
  article-title: Pancreatic Cancer
  publication-title: Nat. Rev. Dis. Primers
  doi: 10.1038/nrdp.2016.22
– volume: 79
  start-page: 5463
  year: 2019
  ident: ref_61
  article-title: Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records
  publication-title: Cancer Res.
  doi: 10.1158/0008-5472.CAN-19-0579
– volume: 31
  start-page: 167
  year: 2023
  ident: ref_75
  article-title: CT Classification Model of Pancreatic Serous Cystic Neoplasm and Mucinous Cystic Neoplasm Based on Deep Transfer Learning
  publication-title: J. X-ray Sci. Technol.
– ident: ref_90
  doi: 10.1201/9780367229184
– volume: 3
  start-page: 100493
  year: 2022
  ident: ref_167
  article-title: Human-Centered Explainability for Life Sciences, Healthcare, and Medical Informatics
  publication-title: Patterns
  doi: 10.1016/j.patter.2022.100493
– volume: 27
  start-page: 491
  year: 2019
  ident: ref_172
  article-title: A Governance Model for the Application of AI in Health Care
  publication-title: J. Am. Med. Inform. Assoc.
  doi: 10.1093/jamia/ocz192
– ident: ref_85
  doi: 10.1007/978-3-030-01252-6_17
– volume: 34
  start-page: 4
  year: 2021
  ident: ref_10
  article-title: Amsterdam International Consensus Meeting: Tumor Response Scoring in the Pathology Assessment of Resected Pancreatic Cancer after Neoadjuvant Therapy
  publication-title: Mod. Pathol.
  doi: 10.1038/s41379-020-00683-9
– volume: 27
  start-page: 2020
  year: 2020
  ident: ref_176
  article-title: Latent Bias and the Implementation of Artificial Intelligence in Medicine
  publication-title: J. Am. Med. Inform. Assoc.
  doi: 10.1093/jamia/ocaa094
– volume: 389
  start-page: 1011
  year: 2017
  ident: ref_146
  article-title: Comparison of Adjuvant Gemcitabine and Capecitabine with Gemcitabine Monotherapy in Patients with Resected Pancreatic Cancer (ESPAC-4): A Multicentre, Open-Label, Randomised, Phase 3 Trial
  publication-title: Lancet
  doi: 10.1016/S0140-6736(16)32409-6
– volume: 16
  start-page: 247
  year: 2009
  ident: ref_51
  article-title: BioTagger-GM: A Gene/protein Name Recognition System
  publication-title: J. Am. Med. Inform. Assoc.
  doi: 10.1197/jamia.M2844
– volume: 39
  start-page: 436
  year: 2023
  ident: ref_132
  article-title: A Review of Deep Learning and Radiomics Approaches for Pancreatic Cancer Diagnosis from Medical Imaging
  publication-title: Curr. Opin. Gastroenterol.
  doi: 10.1097/MOG.0000000000000966
– ident: ref_127
  doi: 10.1186/s13036-023-00340-0
– volume: 18
  start-page: 500
  year: 2018
  ident: ref_67
  article-title: Artificial Intelligence in Radiology
  publication-title: Nat. Rev. Cancer
  doi: 10.1038/s41568-018-0016-5
– volume: 23
  start-page: e25759
  year: 2021
  ident: ref_104
  article-title: Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review
  publication-title: J. Med. Internet Res.
  doi: 10.2196/25759
– volume: 6
  start-page: 147
  year: 2017
  ident: ref_34
  article-title: Extraction of Process-Structure Evolution Linkages from X-ray Scattering Measurements Using Dimensionality Reduction and Time Series Analysis
  publication-title: Integr. Mater. Manuf. Innov.
  doi: 10.1007/s40192-017-0093-4
– ident: ref_36
  doi: 10.1186/s12885-023-10675-y
– ident: ref_140
  doi: 10.1186/s12916-019-1426-2
– volume: 3
  start-page: 1193
  year: 2022
  ident: ref_162
  article-title: Turing Test-Inspired Method for Analysis of Biases Prevalent in Artificial Intelligence-Based Medical Imaging
  publication-title: AI Ethics
  doi: 10.1007/s43681-022-00227-8
– volume: 20
  start-page: 836
  year: 2023
  ident: ref_170
  article-title: Dataset Development Review
  publication-title: J. Am. Coll. Radiol.
  doi: 10.1016/j.jacr.2023.06.015
– volume: 12
  start-page: 6931
  year: 2022
  ident: ref_18
  article-title: Artificial Intelligence in Pancreatic Cancer
  publication-title: Theranostics
  doi: 10.7150/thno.77949
– ident: ref_43
  doi: 10.3390/cancers15133392
– ident: ref_163
  doi: 10.3390/diagnostics10040231
– volume: 35
  start-page: 23
  year: 2022
  ident: ref_7
  article-title: Digital Pathology and Artificial Intelligence in Translational Medicine and Clinical Practice
  publication-title: Mod. Pathol.
  doi: 10.1038/s41379-021-00919-2
– volume: 163
  start-page: 1435
  year: 2022
  ident: ref_181
  article-title: Radiomics-Based Machine-Learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis
  publication-title: Gastroenterology
  doi: 10.1053/j.gastro.2022.06.066
– volume: 145
  start-page: 463
  year: 2020
  ident: ref_54
  article-title: Artificial Intelligence Approaches Using Natural Language Processing to Advance EHR-Based Clinical Research
  publication-title: J. Allergy Clin. Immunol.
  doi: 10.1016/j.jaci.2019.12.897
– volume: 29
  start-page: 2556
  year: 2020
  ident: ref_100
  article-title: Radiomics Improves Cancer Screening and Early Detection
  publication-title: Cancer Epidemiol. Biomark. Prev.
  doi: 10.1158/1055-9965.EPI-20-0075
– volume: 364
  start-page: 1817
  year: 2011
  ident: ref_145
  article-title: FOLFIRINOX versus Gemcitabine for Metastatic Pancreatic Cancer
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa1011923
– ident: ref_57
  doi: 10.3390/diagnostics13020286
– ident: ref_89
  doi: 10.1109/ISBI.2019.8759268
– volume: 27
  start-page: 2176
  year: 2021
  ident: ref_159
  article-title: Underdiagnosis Bias of Artificial Intelligence Algorithms Applied to Chest Radiographs in under-Served Patient Populations
  publication-title: Nat. Med.
  doi: 10.1038/s41591-021-01595-0
– volume: 267
  start-page: 936
  year: 2018
  ident: ref_144
  article-title: Patterns, Timing, and Predictors of Recurrence Following Pancreatectomy for Pancreatic Ductal Adenocarcinoma
  publication-title: Ann. Surg.
  doi: 10.1097/SLA.0000000000002234
– ident: ref_59
  doi: 10.1007/978-3-030-40850-3
– volume: 15
  start-page: 41
  year: 2018
  ident: ref_125
  article-title: Applications of Support Vector Machine (SVM) Learning in Cancer Genomics
  publication-title: Cancer Genom. Proteom.
– ident: ref_49
  doi: 10.1016/B978-0-12-818438-7.00002-2
– volume: 99
  start-page: 101805
  year: 2023
  ident: ref_165
  article-title: Explainable Artificial Intelligence (XAI): What We Know and What Is Left to Attain Trustworthy Artificial Intelligence
  publication-title: Inf. Fusion
  doi: 10.1016/j.inffus.2023.101805
– volume: 132
  start-page: e148550
  year: 2022
  ident: ref_154
  article-title: Clinical Development of Metabolic Inhibitors for Oncology
  publication-title: J. Clin. Investig.
  doi: 10.1172/JCI148550
– volume: 2
  start-page: 133
  year: 2022
  ident: ref_141
  article-title: Artificial Intelligence and Machine Learning in Cancer Imaging
  publication-title: Commun. Med.
  doi: 10.1038/s43856-022-00199-0
– volume: 41
  start-page: W518
  year: 2013
  ident: ref_52
  article-title: PubTator: A Web-Based Text Mining Tool for Assisting Biocuration
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gkt441
SSID ssj0000913825
Score 2.3821266
SecondaryResourceType review_article
Snippet Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis. Late diagnosis is common due to a lack of early symptoms,...
SourceID doaj
unpaywall
proquest
gale
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 174
SubjectTerms Algorithms
Artificial intelligence
artificial intelligence (AI)
artificial neural network (ANN)
Cancer
Cancer research
Care and treatment
Clinical outcomes
Clustering
Computational linguistics
Datasets
Deep learning
Diagnosis
Disease
Electronic health records
Forecasts and trends
future perspectives
Health care reform
Language processing
Machine learning
machine learning (ML)
Medical coding
Medical imaging
Medical imaging equipment
Medical personnel
Medical prognosis
Medical research
Natural language interfaces
Natural language processing
Neural networks
pancreatic adenocarcinoma (PAC)
Pancreatic cancer
Patient outcomes
Patients
Precision medicine
Prognosis
review
Support vector machines
Tomography
Tumors
SummonAdditionalLinks – databaseName: ProQuest Central
  dbid: BENPR
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3di9QwEA_nHqgv4udZPSWC4Ivl0jbphyCyd9xyCrse4sE9CGWaJqewtmuvi_jfO9Nk6y3K4UNe2gkkk8l8JJPfMPbSKpvpShUhNgglmpgQCpChsJCaPAOVD5D580V6ciY_nKvzHbbYvIWhtMqNThwUdd1qOiM_iAsCdkeDqt6tfoRUNYpuVzclNMCXVqjfDhBjN9huTMhYE7Z7eLw4_TSeuhAKJsZEDn4owXj_oHYZbYSJHFEsFWVyy0QNSP5_6-srBuvWulnBr5-wXF6xTLO77I53KfnUycA9tmOa--zm3F-aP2BfZl37nc-HrEnDPaDqBe9bfupAVfnHdY9MMJdv-JSTgujMV5fXzt3VAW8tn77n3xrs0Tg3U_MjkpfuITubHX8-Ogl9UYVQo2_Vh0rXGZgYrKqtTLJaaMCGUVmlVF7pKEuiGDRIKHRqK11FdSXQ5TBxIUyeRDp5xCZN25jHjFdo2xK6xcEQSgIYQNcDRF0RpF5aSBWweMPHUnvEcSp8sSwx8iDml_9gfsBej51WDnDjevJDWqCRlNCyhw9td1H6zVcmEFlRCSuVjCVIm2cSdG20MKmq89gG7BUtb0l7GgeowT9NwGkSOlY5zXKRZ-i5iYDtb1HiXtTbvzcCUnpdcFn-kdyAvRh_U0_Kb2tMux5oMoztBNHsOcEap4QCK3PUnQELR0n7H9Y8uX4wT9ntGB00d5y0zyZ9tzbP0MHqq-d-1_wGNfsk8A
  priority: 102
  providerName: ProQuest
– databaseName: Scholars Portal Journals: Open Access
  dbid: M48
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3fi9QwEA7nCeqL-NvqKREEX6ymbdKmgsh6uJzCqg8u3INQJmlyCmt79rro_ffONN1yi6f44ENfmgm0ky-Zb5r0G8Yee-ULa1QZ4wWxxBATQwkyFh5ypwtQepDMX7zPD5by3aE63GGbqqijA0_OTe2ontSyWz37-f30FU74l5RxYsr-vA6H0kjWOKF0CEn2BXYRQ1VJtRwWI98fluaSJPdUUB_6U9-tCDUI-f--XJ-JV5fXzTGc_oDV6kxgml9jV0dGyWcBAtfZjmtusEuLcc_8Jvs879pvfDEcmnR81FM94n3LPwZNVf5h3SPu3MkLPuO0PnTuSzjWzsPOAW89n73lXxvs0QSWafk-waW7xZbzN5_2D-KxpkJskVr1sbJ1AS4Fr2ovs6IWFvDCpMwopY1NiixJwYKE0ubeWJPURiDjcGkpnM4Sm91mu03buLuMGwxtGW3iYAYlARwg8wBRG1LUy0upIpZu_FjZUXCc6l6sKkw8yPnVOc6P2NOp03HQ2_i7-WsaoMmUxLKHG213VI1zr8og8cIIL5VMJUivCwm2dla4XNU69RF7QsNbEcjwAS2Mfybga5I4VjUrtNAFEjcRsb0tS5yKdrt5A5Bqg-QqLakiATJBdMijqZl60vG2xrXrwabA1E6QzZ0ArOmVELBS49IZsXhC2r-45t7_cM19diVFFhe-Oe2x3b5buwfIwnrzcJhZvwB4djFO
  priority: 102
  providerName: Scholars Portal
– databaseName: Unpaywall
  dbid: UNPAY
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3di9QwEA-6B-qL3x-rp0QQfLG3aZq0qS-yHh6nsOc9uHCCUCZpch6u7bLbVfSvd9Jkl1sVUR_60kxoPiYzv0mmvxDyxElXGC3LBB9IBLqYBEoQCXOQW1WAVD1l_uQoP5yKNyfyJG64LWNaJYbiZ72R5ujPEvTXapSKER8heB7Na_fiS9xJ8kwwzHvs_CLZySVi8QHZmR4dj9_7G-XWdQPVUIax_agO2Wue_zj1cVNaiC131LP2_2qbzzmny6tmDt--wmx2zgsdXCPVuv0h-eTT3qrTe-b7T9SO_9_B6-RqBKh0HDTqBrlgm5vk0iQewd8iHw4W7Wc66XMwLY30rKe0a-lxoGilb1cdftUun9Mx9eZmYT-GLHkaDiJo6-j4NT1rsEYTQKuh-177FrfJ9ODVu_3DJF7RkBhEal0iTV2A5eBk7URW1MwAPhjjaSmVNmmRpRwMCChN7rTRaa0ZAhjLS2ZVlprsDhk0bWPvEarRU2b-TAgDMgFgAYEMsFp7gr68FHJI-HqmKhP5y_01GrMK4xg_vdVvpndInm0qzQN9x5_FX3oV2Ih67u3-Rbs4reJSrjJIHdPMCSm4AOFUIcDU1jCby1pxNyRPvQJV3kJgAw3EHx2wm55rqxoXiqkCcSAbkt0tSVzZZrt4rYJVtCzLipf-ggMEljggjzfFvqbPlmtsu-plCowUmZe5G1R306VMcaHQEg9JstHlvxma-_8o_4Bc4Yj_wm7VLhl0i5V9iPit04_iIv0BLqQ_LA
  priority: 102
  providerName: Unpaywall
Title From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer
URI https://www.ncbi.nlm.nih.gov/pubmed/38248051
https://www.proquest.com/docview/2918680635
https://www.proquest.com/docview/2917559035
https://www.mdpi.com/2075-4418/14/2/174/pdf?version=1705056006
https://doaj.org/article/3a1f0b0f45424a4f874acdec0e65d82f
UnpaywallVersion publishedVersion
Volume 14
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAFT
  databaseName: Open Access Digital Library
  customDbUrl:
  eissn: 2075-4418
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000913825
  issn: 2075-4418
  databaseCode: KQ8
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVAON
  databaseName: Directory of Open Access Journals
  customDbUrl:
  eissn: 2075-4418
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000913825
  issn: 2075-4418
  databaseCode: DOA
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVEBS
  databaseName: EBSCOhost Academic Search Ultimate
  customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn
  eissn: 2075-4418
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000913825
  issn: 2075-4418
  databaseCode: ABDBF
  dateStart: 20120901
  isFulltext: true
  titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn
  providerName: EBSCOhost
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2075-4418
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000913825
  issn: 2075-4418
  databaseCode: M~E
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVAQN
  databaseName: PubMed Central
  customDbUrl:
  eissn: 2075-4418
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000913825
  issn: 2075-4418
  databaseCode: RPM
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/
  providerName: National Library of Medicine
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl: http://www.proquest.com/pqcentral?accountid=15518
  eissn: 2075-4418
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000913825
  issn: 2075-4418
  databaseCode: BENPR
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVFZP
  databaseName: Scholars Portal Journals: Open Access
  customDbUrl:
  eissn: 2075-4418
  dateEnd: 20250930
  omitProxy: true
  ssIdentifier: ssj0000913825
  issn: 2075-4418
  databaseCode: M48
  dateStart: 20110501
  isFulltext: true
  titleUrlDefault: http://journals.scholarsportal.info
  providerName: Scholars Portal
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3fi9QwEA5ygvoi_rbneUQQfLFc2iZN6lvvuOUUdl3EhROEMk0TFdb22Oty-N870_SWXRT1wYfuQzuBdvpl5ptm9gtjL73y2taqiPGAWGKKiaEAGQsPuTMalBkk86ez_Gwh352r862tvqgnLMgDB8cdZZB4UQsvlUwlSG-0BNs4K1yuGpN6ir7CFFvF1BCDC9LWU0FmKMO6_qgJnWukfZxQzZRouZOKBsX-X-PyVmK6vW4v4McVLJdbGWhyj90dqSMvwy3fZzdc-4Ddmo6L4w_Z58mq-86nQ3ek46Nw6hfed3wexFP5-3WPAHOXb3jJKRCs3NfQv87DEgHvPC_f8m8tjmgDnbT8hHCxesQWk9OPJ2fxuHlCbJFD9bGyjQaXgleNl5luhAU8sPqqlTK1TXSWpGBBQmFzX9s6aWqB1MKlhXAmS2z2mO21XeueMl5jDstotQZLJQngACkGiKYm6by8kCpi6bUfKzsqi9MGF8sKKwxyfvUb50fs9WbQRRDW-LP5Mb2gjSmpYg8nECvViJXqb1iJ2Ct6vRXNXbxBC-NfEPAxSQWrKrURRiNDExE72LHEOWd3L18DpBrn_GWVFrT1AFI-dMiLzWUaSX1srevWg43GGk6QzZMArM0jIWClwRgZsXiDtH9xzf7_cM0zdidFuhY-Lh2wvX61ds-RbvX1Ibt5fDqbfzgcZhj-TqXBc4vZvPz0Ex1YK8s
linkProvider Directory of Open Access Journals
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3da9RAEF9qC9YX8dto1RUUXwzdJLuXRChyrT3ubO8s0kIfhDjZ7FbhTM77oPSf829zJtmLPZTiSx_yksyGZHY-d2d_w9grq2ysc5X6eIEv0cX4kIL0hYWOSWJQSQ2ZPxx1-ify46k6XWO_lmdhqKxyaRNrQ11UmtbIt8OUgN3Roar3k58-dY2i3dVlCw1wrRWKnRpizB3sODAX55jCzXYGH3C-X4dhb_94r--7LgO-xmBj7itdxGBCsKqwMooLoQEvTFNypZJcB3EUhKBBQqo7Ntd5UOQCfbAJU2GSKNARvvcG25CRTDH529jdHx19bld5CHUTc7AG7iiKUrFdNBV0hMEcUO4WxHLFJdadA_72D5cc5OainMDFOYzHlzxh7w677UJY3m1k7i5bM-U9dnPoNunvsy-9afWDD-sqTcMdgOsZn1f8qAFx5Z8Wc2S6mb3jXU4GaWq-NXX0vNmq4JXl3QH_XuKIsglrNd8j-Zw-YCfXwt6HbL2sSvOY8Rx9aUS7RpiySQADGOqAKHKC8OukUnksXPIx0w7hnBptjDPMdIj52T-Y77G37aBJA_BxNfkuTVBLSujc9Y1qepY5Zc8iCKzIhZVKhhKkTWIJujBamI4qktB67A1Nb0Y2BD9QgzsKgb9JaFxZN05EEmOkKDy2tUKJuq9XHy8FJHO2Z5b90RSPvWwf00iqpytNtahpYswlBdE8agSr_SUUWJmgrfaY30ra_7DmydUf84Jt9o-Hh9nhYHTwlN0KMThslrK22Pp8ujDPMLib58-dBnH29bqV9jcrkGOK
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZKKxUuiDeBAkYCcSFaJ7E3CVKFto9Vl7JLhajUQ6UwceyCtCTLPlT1L_KrmEm8oStQxaWHXJJxlIzH8_CMv2HslVU21rlKfbzAl2hifEhB-sJC1yQxqKSGzB-OugfH8sOJOlljv5ZnYaiscqkTa0VdVJr2yDthSsDuaFBVx7qyiKO9_vvJT586SFGmddlOA1ybhWK7hhtzhzwOzcU5hnOz7cEezv3rMOzvf9k98F3HAV-j4zH3lS5iMCFYVVgZxYXQgBeGLLlSSa6DOApC0CAh1V2b6zwocoH22ISpMEkU6Ajfe4NtUPILlcTGzv7o6HO740MInBiPNdBHUZSKTtFU0xEec0BxXBDLFfNYdxH421ZcMpY3F-UELs5hPL5kFft32G3nzvJeI3932Zop77HNoUvY32en_Wn1gw_rik3DHZjrGZ9X_KgBdOWfFnOcADN7x3uclNPUfGtq6nmTtuCV5b0B_17iiLJxcTXfJVmdPmDH18Leh2y9rErzmPEc7WpEGSQM3ySAAXR7QBQ5wfl1U6k8Fi75mGmHdk5NN8YZRj3E_OwfzPfY23bQpAH7uJp8hyaoJSWk7vpGNT3L3MLPIgisyIWVSoYSpE1iCbowWpiuKpLQeuwNTW9G-gQ_UIM7FoG_SchcWS9ORIICFQuPba1Qoh7Qq4-XApI5PTTL_qwaj71sH9NIqq0rTbWoaWKMKwXRPGoEq_0lFFiZoN72mN9K2v-w5snVH_OCbeLizT4ORodP2a0Q_cRmV2uLrc-nC_MM_bx5_twtIM6-Xvea_Q2aHme5
linkToUnpaywall http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3di9QwEA-6B-qL3x-rp0QQfLG3aZq0qS-yHh6nsOc9uHCCUCZpch6u7bLbVfSvd9Jkl1sVUR_60kxoPiYzv0mmvxDyxElXGC3LBB9IBLqYBEoQCXOQW1WAVD1l_uQoP5yKNyfyJG64LWNaJYbiZ72R5ujPEvTXapSKER8heB7Na_fiS9xJ8kwwzHvs_CLZySVi8QHZmR4dj9_7G-XWdQPVUIax_agO2Wue_zj1cVNaiC131LP2_2qbzzmny6tmDt--wmx2zgsdXCPVuv0h-eTT3qrTe-b7T9SO_9_B6-RqBKh0HDTqBrlgm5vk0iQewd8iHw4W7Wc66XMwLY30rKe0a-lxoGilb1cdftUun9Mx9eZmYT-GLHkaDiJo6-j4NT1rsEYTQKuh-177FrfJ9ODVu_3DJF7RkBhEal0iTV2A5eBk7URW1MwAPhjjaSmVNmmRpRwMCChN7rTRaa0ZAhjLS2ZVlprsDhk0bWPvEarRU2b-TAgDMgFgAYEMsFp7gr68FHJI-HqmKhP5y_01GrMK4xg_vdVvpndInm0qzQN9x5_FX3oV2Ih67u3-Rbs4reJSrjJIHdPMCSm4AOFUIcDU1jCby1pxNyRPvQJV3kJgAw3EHx2wm55rqxoXiqkCcSAbkt0tSVzZZrt4rYJVtCzLipf-ggMEljggjzfFvqbPlmtsu-plCowUmZe5G1R306VMcaHQEg9JstHlvxma-_8o_4Bc4Yj_wm7VLhl0i5V9iPit04_iIv0BLqQ_LA
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=From+Machine+Learning+to+Patient+Outcomes%3A+A+Comprehensive+Review+of+AI+in+Pancreatic+Cancer&rft.jtitle=Diagnostics+%28Basel%29&rft.au=Satvik+Tripathi&rft.au=Azadeh+Tabari&rft.au=Arian+Mansur&rft.au=Harika+Dabbara&rft.date=2024-01-01&rft.pub=MDPI+AG&rft.eissn=2075-4418&rft.volume=14&rft.issue=2&rft.spage=174&rft_id=info:doi/10.3390%2Fdiagnostics14020174&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_3a1f0b0f45424a4f874acdec0e65d82f
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2075-4418&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2075-4418&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2075-4418&client=summon