Application of mobile health, telemedicine and artificial intelligence to echocardiography
The intersection of global broadband technology and miniaturized high-capability computing devices has led to a revolution in the delivery of healthcare and the birth of telemedicine and mobile health (mHealth). Rapid advances in handheld imaging devices with other mHealth devices such as smartphone...
Saved in:
| Published in | Echo research and practice Vol. 6; no. 2; pp. R41 - R52 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Bioscientifica Ltd
01.06.2019
BioMed Central Springer Nature B.V BMC |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2055-0464 2055-0464 |
| DOI | 10.1530/ERP-18-0081 |
Cover
| Abstract | The intersection of global broadband technology and miniaturized high-capability computing devices has led to a revolution in the delivery of healthcare and the birth of telemedicine and mobile health (mHealth). Rapid advances in handheld imaging devices with other mHealth devices such as smartphone apps and wearable devices are making great strides in the field of cardiovascular imaging like never before. Although these technologies offer a bright promise in cardiovascular imaging, it is far from straightforward. The massive data influx from telemedicine and mHealth including cardiovascular imaging supersedes the existing capabilities of current healthcare system and statistical software. Artificial intelligence with machine learning is the one and only way to navigate through this complex maze of the data influx through various approaches. Deep learning techniques are further expanding their role by image recognition and automated measurements. Artificial intelligence provides limitless opportunity to rigorously analyze data. As we move forward, the futures of mHealth, telemedicine and artificial intelligence are increasingly becoming intertwined to give rise to precision medicine. |
|---|---|
| AbstractList | The intersection of global broadband technology and miniaturized high-capability computing devices has led to a revolution in the delivery of healthcare and the birth of telemedicine and mobile health (mHealth). Rapid advances in handheld imaging devices with other mHealth devices such as smartphone apps and wearable devices are making great strides in the field of cardiovascular imaging like never before. Although these technologies offer a bright promise in cardiovascular imaging, it is far from straightforward. The massive data influx from telemedicine and mHealth including cardiovascular imaging supersedes the existing capabilities of current healthcare system and statistical software. Artificial intelligence with machine learning is the one and only way to navigate through this complex maze of the data influx through various approaches. Deep learning techniques are further expanding their role by image recognition and automated measurements. Artificial intelligence provides limitless opportunity to rigorously analyze data. As we move forward, the futures of mHealth, telemedicine and artificial intelligence are increasingly becoming intertwined to give rise to precision medicine.The intersection of global broadband technology and miniaturized high-capability computing devices has led to a revolution in the delivery of healthcare and the birth of telemedicine and mobile health (mHealth). Rapid advances in handheld imaging devices with other mHealth devices such as smartphone apps and wearable devices are making great strides in the field of cardiovascular imaging like never before. Although these technologies offer a bright promise in cardiovascular imaging, it is far from straightforward. The massive data influx from telemedicine and mHealth including cardiovascular imaging supersedes the existing capabilities of current healthcare system and statistical software. Artificial intelligence with machine learning is the one and only way to navigate through this complex maze of the data influx through various approaches. Deep learning techniques are further expanding their role by image recognition and automated measurements. Artificial intelligence provides limitless opportunity to rigorously analyze data. As we move forward, the futures of mHealth, telemedicine and artificial intelligence are increasingly becoming intertwined to give rise to precision medicine. The intersection of global broadband technology and miniaturized high-capability computing devices has led to a revolution in the delivery of healthcare and the birth of telemedicine and mobile health (mHealth). Rapid advances in handheld imaging devices with other mHealth devices such as smartphone apps and wearable devices are making great strides in the field of cardiovascular imaging like never before. Although these technologies offer a bright promise in cardiovascular imaging, it is far from straightforward. The massive data influx from telemedicine and mHealth including cardiovascular imaging supersedes the existing capabilities of current healthcare system and statistical software. Artificial intelligence with machine learning is the one and only way to navigate through this complex maze of the data influx through various approaches. Deep learning techniques are further expanding their role by image recognition and automated measurements. Artificial intelligence provides limitless opportunity to rigorously analyze data. As we move forward, the futures of mHealth, telemedicine and artificial intelligence are increasingly becoming intertwined to give rise to precision medicine. |
| Author | Sengupta, Partho P Kagiyama, Nobuyuki Seetharam, Karthik |
| AuthorAffiliation | West Virginia University Heart and Vascular Institute, Morgantown, West Virginia, USA |
| AuthorAffiliation_xml | – name: West Virginia University Heart and Vascular Institute, Morgantown, West Virginia, USA |
| Author_xml | – sequence: 1 givenname: Karthik surname: Seetharam fullname: Seetharam, Karthik organization: West Virginia University Heart and Vascular Institute, Morgantown, West Virginia, USA – sequence: 2 givenname: Nobuyuki surname: Kagiyama fullname: Kagiyama, Nobuyuki organization: West Virginia University Heart and Vascular Institute, Morgantown, West Virginia, USA – sequence: 3 givenname: Partho P surname: Sengupta fullname: Sengupta, Partho P email: partho.sengupta@wvumedicine.org organization: West Virginia University Heart and Vascular Institute, Morgantown, West Virginia, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30844756$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kstv1DAQxiNURB_0xB1F4oLUBuw8bOeCVFUFKlUCIbhwsSb2OPEqawcni9T_ntluKW0levJjfvP588wcZnshBsyyV5y9403F3l98-1pwVTCm-LPsoGRNU7Ba1Hv39vvZ8TyvGGOUIFspX2T7FVN1LRtxkP08m6bRG1h8DHl0-Tp2fsR8QBiX4TRfcMQ1Wm98wByCzSEt3tERxtwHio6-x2AwX2KOZogGkvWxTzAN1y-z5w7GGY9v16Psx8eL7-efi6svny7Pz66KTpRsKQR0rWorY41krCprBUyiAKWk41IYIxSgEAzbqiUUuVGuBgvWglBMoauOssudro2w0lPya0jXOoLXNxcx9Xrr2oyoS7StUGWDykEtXAcWwdFlSbJOyoq0Puy0pk1H_zYYlgTjA9GHkeAH3cffWtRVSbUlgbe3Ain-2uC86LWfDdUJAsbNrEuu2qaWlVSEvnmEruImBSqVLmXFRK1a0RL1-r6jOyt_W0jAyQ4wKc5zQneHcKa3M6JpRjRXejsjRPNHtPHLTffpO378T87pLmcm5dBj-mf0ySc6H2fjqVDbiYEnbf0B_NDevQ |
| CitedBy_id | crossref_primary_10_1016_j_bpa_2021_01_005 crossref_primary_10_3390_jcm13071861 crossref_primary_10_62486_latia20233 crossref_primary_10_36660_abcimg_20230110i crossref_primary_10_1002_joa3_12461 crossref_primary_10_3390_iot5030024 crossref_primary_10_3390_s22208073 crossref_primary_10_1016_j_jaad_2020_05_053 crossref_primary_10_1111_anec_12795 crossref_primary_10_1161_CIRCEP_120_009204 crossref_primary_10_3390_s24247973 crossref_primary_10_2147_JMDH_S359084 crossref_primary_10_1053_j_jvca_2020_02_055 crossref_primary_10_2217_fca_2022_0065 crossref_primary_10_1007_s10554_023_02800_6 crossref_primary_10_2139_ssrn_4138300 crossref_primary_10_2196_24680 crossref_primary_10_1186_s40814_021_00910_3 crossref_primary_10_1007_s11886_020_01329_7 crossref_primary_10_1080_08839514_2022_2031816 crossref_primary_10_1177_2327857920091060 crossref_primary_10_4330_wjc_v13_i10_546 crossref_primary_10_12688_f1000research_19721_1 crossref_primary_10_1007_s11936_020_0805_5 crossref_primary_10_1371_journal_pone_0281127 crossref_primary_10_1186_s12947_022_00296_z crossref_primary_10_1016_j_susoc_2021_04_003 crossref_primary_10_1093_ehjdh_ztab001 crossref_primary_10_1007_s40119_024_00368_3 crossref_primary_10_3390_merits3040042 crossref_primary_10_1016_j_cvdhj_2020_11_004 crossref_primary_10_1186_s12947_021_00261_2 crossref_primary_10_1186_s13020_023_00741_9 crossref_primary_10_3390_su12010106 crossref_primary_10_1161_JAHA_119_012788 crossref_primary_10_1186_s43055_024_01356_2 crossref_primary_10_3390_a17020078 crossref_primary_10_37015_AUDT_2020_200047 crossref_primary_10_15420_usc_2019_19_2 crossref_primary_10_3389_fcvm_2020_618849 crossref_primary_10_7759_cureus_39160 crossref_primary_10_1111_echo_14764 crossref_primary_10_1371_journal_pone_0285512 crossref_primary_10_1007_s40119_022_00273_7 crossref_primary_10_1177_01617346221099435 crossref_primary_10_3390_bs14060498 crossref_primary_10_1007_s00276_024_03342_9 crossref_primary_10_1002_jcu_23215 crossref_primary_10_7759_cureus_13502 |
| Cites_doi | 10.1016/j.jacc.2018.03.521 10.1186/s12947-016-0094-z 10.1016/j.echo.2011.01.015 10.1016/j.echo.2013.03.008 10.1056/NEJMsr1503323 10.1253/circj.CJ-08-1076 10.1161/CIRCULATIONAHA.118.034338 10.1001/jamanetworkopen.2018.1456 10.1111/acem.12570 10.1097/CCM.0000000000001571 10.1161/HYPERTENSIONAHA.111.00763 10.1007/s12574-015-0265-1 10.1111/j.1540-8175.2012.01728.x 10.1016/j.echo.2017.05.018 10.1186/1476-7120-8-51 10.1136/heartjnl-2017-311198 10.1016/j.echo.2011.08.007 10.1111/echo.13507 10.1161/CIR.0000000000000232 10.1093/ehjci/jes085 10.1016/j.cardfail.2015.02.004 10.1016/j.jacc.2016.08.062 10.1186/s12968-018-0471-x 10.1016/j.ejim.2011.10.009 10.1016/j.jacc.2016.12.024 10.1093/ehjci/jes140 10.1364/BOE.8.001203 10.1016/j.echo.2010.10.017 10.1016/j.amjmed.2014.03.015 10.1016/j.echo.2014.09.001 10.1186/cc11340 10.1016/j.jacc.2013.01.052 10.1111/echo.13509 10.1016/j.hlc.2016.04.009 10.1093/ejechocard/jer035 10.1016/j.ultrasmedbio.2011.02.010 10.1016/j.echo.2012.12.012 10.1111/echo.13135 10.7326/M16-1739 10.1016/j.hrthm.2014.11.015 10.1016/j.echo.2018.01.014 10.1016/j.jacc.2017.03.571 10.1161/JAHA.115.003119 10.1111/j.1540-8175.2011.01553.x 10.1093/eurheartj/ehv770 10.1093/ehjci/jew328 10.1001/jamacardio.2018.0136 10.1111/echo.13851 10.1161/CIRCULATIONAHA.117.026622 10.1016/j.jacc.2013.11.005 10.1016/j.jjcc.2016.02.021 10.1007/s10554-015-0656-4 |
| ContentType | Journal Article |
| Copyright | 2019 The authors The authors 2019 The authors 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2019 The authors 2019 The authors |
| Copyright_xml | – notice: 2019 The authors – notice: The authors 2019 – notice: The authors 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2019 The authors 2019 The authors |
| DBID | C6C AAYXX CITATION NPM 3V. 7RV 7X7 7XB 88E 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH K9. KB0 M0S M1P NAPCQ PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS 7X8 5PM DOA |
| DOI | 10.1530/ERP-18-0081 |
| DatabaseName | Springer Nature OA Free Journals CrossRef PubMed ProQuest Central (Corporate) Nursing & Allied Health Database Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) Nursing & Allied Health Database (Alumni Edition) Health & Medical Collection (Alumni) Medical Database Nursing & Allied Health Premium ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest One Academic Eastern Edition ProQuest Nursing & Allied Health Source ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) Nursing & Allied Health Premium ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest Nursing & Allied Health Source (Alumni) ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic PubMed Publicly Available Content Database CrossRef |
| Database_xml | – sequence: 1 dbid: C6C name: Springer Nature OA Free Journals url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 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: 4 dbid: BENPR name: ProQuest Central url: http://www.proquest.com/pqcentral?accountid=15518 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| DocumentTitleAlternate | mHealth, telemedicine and AI in echocardiography K Seetharam et al |
| EISSN | 2055-0464 |
| EndPage | R52 |
| ExternalDocumentID | oai_doaj_org_article_2ed96825e8fa46fbadeaf2ed2e1cf773 PMC6432977 30844756 10_1530_ERP_18_0081 |
| Genre | Journal Article Review |
| GroupedDBID | 5VS 7RV 7X7 88E 8FI 8FJ AAJSJ ABUWG ABVAZ ACRMQ ADRAZ AFGXO AFKRA AFNRJ ALMA_UNASSIGNED_HOLDINGS BENPR C24 C6C CCPQU EBS FRP FYUFA GROUPED_DOAJ HMCUK HYE IPNFZ KQ8 M1P M48 M~E NAPCQ OK1 PIMPY PSQYO RIG RPM RSV SOJ TBS UKHRP W2D 0R~ AAKMT AASML ADUKV BMC EBLON PGMZT PHGZM PHGZT PJZUB PPXIY PUEGO AAYXX ALIPV CITATION NPM 3V. 7XB 8FK AZQEC DWQXO K9. PKEHL PQEST PQQKQ PQUKI PRINS 7X8 5PM |
| ID | FETCH-LOGICAL-b620t-6ab9893cdc7003248a07e6a887f176cc68ae660e9396abe1c8f4adadda6808ef3 |
| IEDL.DBID | C6C |
| ISSN | 2055-0464 |
| IngestDate | Wed Aug 27 01:30:42 EDT 2025 Thu Aug 21 18:00:28 EDT 2025 Thu Sep 04 15:45:56 EDT 2025 Sun Sep 07 03:33:55 EDT 2025 Thu Jan 02 22:59:01 EST 2025 Tue Jul 01 02:00:14 EDT 2025 Thu Apr 24 22:53:51 EDT 2025 Sat Sep 06 07:28:51 EDT 2025 Sun Jan 07 07:18:54 EST 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Keywords | mobile health telemedicine artificial intelligence |
| Language | English |
| License | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-b620t-6ab9893cdc7003248a07e6a887f176cc68ae660e9396abe1c8f4adadda6808ef3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 |
| OpenAccessLink | https://doi.org/10.1530/ERP-18-0081 |
| PMID | 30844756 |
| PQID | 2730648969 |
| PQPubID | 5642904 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_2ed96825e8fa46fbadeaf2ed2e1cf773 pubmedcentral_primary_oai_pubmedcentral_nih_gov_6432977 proquest_miscellaneous_2189547378 proquest_journals_2730648969 pubmed_primary_30844756 crossref_primary_10_1530_ERP_18_0081 crossref_citationtrail_10_1530_ERP_18_0081 springer_journals_10_1530_ERP_18_0081 bioscientifica_primary_10_1530_ERP_18_0081 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2019-06-01 |
| PublicationDateYYYYMMDD | 2019-06-01 |
| PublicationDate_xml | – month: 06 year: 2019 text: 2019-06-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England – name: Bristol. United Kingdom – name: Bristol |
| PublicationTitle | Echo research and practice |
| PublicationTitleAbbrev | Echo Res Pract |
| PublicationTitleAlternate | Echo Res Pract |
| PublicationYear | 2019 |
| Publisher | Bioscientifica Ltd BioMed Central Springer Nature B.V BMC |
| Publisher_xml | – name: Bioscientifica Ltd – name: BioMed Central – name: Springer Nature B.V – name: BMC |
| References | GC Brooks (602006_CR35) 2015; 8 RV Tuckson (602006_CR2) 2017; 377 B Michalski (602006_CR13) 2012; 29 A Abdolmanafi (602006_CR38) 2017; 8 K Shameer (602006_CR50) 2018; 104 W Tsang (602006_CR48) 2016; 9 KG Tarakji (602006_CR33) 2015; 12 M Biais (602006_CR14) 2012; 16 C Prinz (602006_CR15) 2012; 29 S Fukuda (602006_CR16) 2009; 73 PP Sengupta (602006_CR57) 2016; 9 K Nishigami (602006_CR24) 2015; 13 DeepMind. (602006_CR52) 2019 VF Panoulas (602006_CR18) 2013; 14 B Williams (602006_CR34) 2013; 61 GN Andersen (602006_CR11) 2011; 12 Office of Health Policy, Office of the Assistant Secretary for PlanningEvaulation. (602006_CR3) 2016 MV Carlino (602006_CR25) 2018; 35 W Bai (602006_CR60) 2018; 20 A Testuz (602006_CR10) 2013; 14 DC Goff Jr (602006_CR55) 2014; 63 PA Pellikka (602006_CR61) 2018; 1 AM Johri (602006_CR5) 2018; 31 SP Bhavnani (602006_CR39) 2018; 11 D Medvedofsky (602006_CR46) 2017; 30 S Singh (602006_CR40) 2013; 26 N Kagiyama (602006_CR45) 2016; 33 ZJ Eapen (602006_CR32) 2016; 5 MA Chamsi-Pasha (602006_CR4) 2017; 136 FM Russell (602006_CR23) 2015; 22 SJ Al’Aref (602006_CR63) 2018 S Lafitte (602006_CR12) 2011; 37 M Bansal (602006_CR43) 2015; 28 CT Phillips (602006_CR22) 2017; 34 M Galderisi (602006_CR9) 2010; 8 GH Tison (602006_CR36) 2018; 3 D Filipiak-Strzecka (602006_CR26) 2017; 34 R Esposito (602006_CR27) 2017; 15 V Mor-Avi (602006_CR47) 2011; 24 J Zhang (602006_CR62) 2018; 138 K Skjetne (602006_CR7) 2011; 12 BG Choi (602006_CR41) 2011; 24 I Cavallari (602006_CR28) 2015; 31 NR Cook (602006_CR56) 2016; 165 OC Mjolstad (602006_CR17) 2012; 23 A Furukawa (602006_CR20) 2017; 69 MM Churpek (602006_CR54) 2016; 44 S Narula (602006_CR58) 2016; 68 MA Konstam (602006_CR6) 2017; 69 SP Bhavnani (602006_CR30) 2016; 37 MC Lancaster (602006_CR59) 2018 A Maisel (602006_CR37) 2013; 61 LE Burke (602006_CR1) 2015; 132 Y Abe (602006_CR19) 2013; 26 C Krittanawong (602006_CR53) 2017; 69 M Gustafsson (602006_CR21) 2015; 21 HA Khan (602006_CR29) 2014; 127 KW Johnson (602006_CR51) 2018; 71 GE Healthcare (602006_CR42) 2018 C Prinz (602006_CR8) 2011; 24 K Boman (602006_CR44) 2014; 7 CK Chow (602006_CR31) 2016; 25 D Medvedofsky (602006_CR49) 2018; 19 |
| References_xml | – volume: 71 start-page: 2668 year: 2018 ident: 602006_CR51 publication-title: Journal of the American College of Cardiology doi: 10.1016/j.jacc.2018.03.521 – volume: 15 start-page: 2 year: 2017 ident: 602006_CR27 publication-title: Cardiovascular Ultrasound doi: 10.1186/s12947-016-0094-z – volume: 24 start-page: 277 year: 2011 ident: 602006_CR47 publication-title: Journal of the American Society of Echocardiography doi: 10.1016/j.echo.2011.01.015 – volume: 26 start-page: 589 year: 2013 ident: 602006_CR19 publication-title: Journal of the American Society of Echocardiography doi: 10.1016/j.echo.2013.03.008 – volume: 377 start-page: 1585 year: 2017 ident: 602006_CR2 publication-title: New England Journal of Medicine doi: 10.1056/NEJMsr1503323 – volume: 73 start-page: 1092 year: 2009 ident: 602006_CR16 publication-title: Circulation Journal doi: 10.1253/circj.CJ-08-1076 – volume: 138 start-page: 1623 year: 2018 ident: 602006_CR62 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.118.034338 – volume: 1 start-page: e181456 year: 2018 ident: 602006_CR61 publication-title: JAMA Network Open doi: 10.1001/jamanetworkopen.2018.1456 – volume: 22 start-page: 182 year: 2015 ident: 602006_CR23 publication-title: Academic Emergency Medicine doi: 10.1111/acem.12570 – volume: 44 start-page: 368 year: 2016 ident: 602006_CR54 publication-title: Critical Care Medicine doi: 10.1097/CCM.0000000000001571 – volume: 12 start-page: 737 year: 2011 ident: 602006_CR7 publication-title: European Journal of Echocardiography – volume: 61 start-page: 1168 year: 2013 ident: 602006_CR34 publication-title: Hypertension doi: 10.1161/HYPERTENSIONAHA.111.00763 – volume: 13 start-page: 141 year: 2015 ident: 602006_CR24 publication-title: Journal of Echocardiography doi: 10.1007/s12574-015-0265-1 – volume: 29 start-page: 887 year: 2012 ident: 602006_CR15 publication-title: Echocardiography doi: 10.1111/j.1540-8175.2012.01728.x – volume: 30 start-page: 879 year: 2017 ident: 602006_CR46 publication-title: Journal of the American Society of Echocardiography doi: 10.1016/j.echo.2017.05.018 – volume: 8 start-page: 51 year: 2010 ident: 602006_CR9 publication-title: Cardiovascular Ultrasound doi: 10.1186/1476-7120-8-51 – volume: 104 start-page: 1156 year: 2018 ident: 602006_CR50 publication-title: Heart doi: 10.1136/heartjnl-2017-311198 – volume: 24 start-page: 1325 year: 2011 ident: 602006_CR41 publication-title: Journal of the American Society of Echocardiography doi: 10.1016/j.echo.2011.08.007 – volume: 34 start-page: 716 year: 2017 ident: 602006_CR26 publication-title: Echocardiography doi: 10.1111/echo.13507 – volume: 132 start-page: 1157 year: 2015 ident: 602006_CR1 publication-title: Circulation doi: 10.1161/CIR.0000000000000232 – volume-title: European Heart Journal year: 2018 ident: 602006_CR63 – volume: 11 start-page: 546 year: 2018 ident: 602006_CR39 publication-title: JACC: Cardiovascular Imaging – volume: 14 start-page: 38 year: 2013 ident: 602006_CR10 publication-title: European Heart Journal Cardiovascular Imaging doi: 10.1093/ehjci/jes085 – volume: 21 start-page: 548 year: 2015 ident: 602006_CR21 publication-title: Journal of Cardiac Failure doi: 10.1016/j.cardfail.2015.02.004 – volume: 9 start-page: e004330 year: 2016 ident: 602006_CR57 publication-title: Circulation: Cardiovascular Imaging – volume: 68 start-page: 2287 year: 2016 ident: 602006_CR58 publication-title: Journal of the American College of Cardiology doi: 10.1016/j.jacc.2016.08.062 – volume: 20 start-page: 65 year: 2018 ident: 602006_CR60 publication-title: Journal of Cardiovascular Magnetic Resonance doi: 10.1186/s12968-018-0471-x – volume: 23 start-page: 185 year: 2012 ident: 602006_CR17 publication-title: European Journal of Internal Medicine doi: 10.1016/j.ejim.2011.10.009 – volume: 69 start-page: 1305 year: 2017 ident: 602006_CR6 publication-title: Journal of the American College of Cardiology doi: 10.1016/j.jacc.2016.12.024 – volume: 14 start-page: 323 year: 2013 ident: 602006_CR18 publication-title: European Heart Journal Cardiovascular Imaging doi: 10.1093/ehjci/jes140 – volume: 8 start-page: 1203 year: 2017 ident: 602006_CR38 publication-title: Biomedical Optics Express doi: 10.1364/BOE.8.001203 – volume: 9 start-page: 769 year: 2016 ident: 602006_CR48 publication-title: JACC: Cardiovascular Imaging – volume: 24 start-page: 111 year: 2011 ident: 602006_CR8 publication-title: Journal of the American Society of Echocardiography doi: 10.1016/j.echo.2010.10.017 – volume: 127 start-page: 669.e1 year: 2014 ident: 602006_CR29 publication-title: American Journal of Medicine doi: 10.1016/j.amjmed.2014.03.015 – volume: 8 start-page: 905 year: 2015 ident: 602006_CR35 publication-title: Circulation: Heart Failure – volume: 28 start-page: 75 year: 2015 ident: 602006_CR43 publication-title: Journal of the American Society of Echocardiography doi: 10.1016/j.echo.2014.09.001 – volume: 7 start-page: 799 year: 2014 ident: 602006_CR44 publication-title: JACC: Cardiovascular Imaging – volume: 16 start-page: R82 year: 2012 ident: 602006_CR14 publication-title: Critical Care doi: 10.1186/cc11340 – volume: 61 start-page: 1726 year: 2013 ident: 602006_CR37 publication-title: Journal of the American College of Cardiology doi: 10.1016/j.jacc.2013.01.052 – volume: 34 start-page: 656 year: 2017 ident: 602006_CR22 publication-title: Echocardiography doi: 10.1111/echo.13509 – volume: 25 start-page: 802 year: 2016 ident: 602006_CR31 publication-title: Heart, Lung and Circulation doi: 10.1016/j.hlc.2016.04.009 – volume: 12 start-page: 665 year: 2011 ident: 602006_CR11 publication-title: European Journal of Echocardiography doi: 10.1093/ejechocard/jer035 – start-page: [epub] volume-title: JACC: Cardiovascular Imaging year: 2018 ident: 602006_CR59 – volume: 37 start-page: 798 year: 2011 ident: 602006_CR12 publication-title: Ultrasound in Medicine and Biology doi: 10.1016/j.ultrasmedbio.2011.02.010 – volume: 26 start-page: 221 year: 2013 ident: 602006_CR40 publication-title: Journal of the American Society of Echocardiography doi: 10.1016/j.echo.2012.12.012 – volume: 33 start-page: 756 year: 2016 ident: 602006_CR45 publication-title: Echocardiography doi: 10.1111/echo.13135 – volume: 165 start-page: 786 year: 2016 ident: 602006_CR56 publication-title: Annals of Internal Medicine doi: 10.7326/M16-1739 – volume: 12 start-page: 554 year: 2015 ident: 602006_CR33 publication-title: Heart Rhythm doi: 10.1016/j.hrthm.2014.11.015 – volume: 31 start-page: 749 year: 2018 ident: 602006_CR5 publication-title: Journal of the American Society of Echocardiography doi: 10.1016/j.echo.2018.01.014 – volume: 69 start-page: 2657 year: 2017 ident: 602006_CR53 publication-title: Journal of the American College of Cardiology doi: 10.1016/j.jacc.2017.03.571 – volume: 5 start-page: e003119 year: 2016 ident: 602006_CR32 publication-title: Journal of the American Heart Association doi: 10.1161/JAHA.115.003119 – volume: 29 start-page: 1 year: 2012 ident: 602006_CR13 publication-title: Echocardiography doi: 10.1111/j.1540-8175.2011.01553.x – volume: 37 start-page: 1428 year: 2016 ident: 602006_CR30 publication-title: European Heart Journal doi: 10.1093/eurheartj/ehv770 – volume: 19 start-page: 47 year: 2018 ident: 602006_CR49 publication-title: European Heart Journal Cardiovascular Imaging doi: 10.1093/ehjci/jew328 – volume: 3 start-page: 409 year: 2018 ident: 602006_CR36 publication-title: JAMA Cardiology doi: 10.1001/jamacardio.2018.0136 – volume: 35 start-page: 785 year: 2018 ident: 602006_CR25 publication-title: Echocardiography doi: 10.1111/echo.13851 – volume-title: Vscan Extend datasheet year: 2018 ident: 602006_CR42 – volume-title: Report to Congress: E-health and telemedicine year: 2016 ident: 602006_CR3 – volume: 136 start-page: 2178 year: 2017 ident: 602006_CR4 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.117.026622 – volume: 63 start-page: 2935 year: 2014 ident: 602006_CR55 publication-title: Journal of the American College of Cardiology doi: 10.1016/j.jacc.2013.11.005 – volume-title: AlphaGo year: 2019 ident: 602006_CR52 – volume: 69 start-page: 189 year: 2017 ident: 602006_CR20 publication-title: Journal of Cardiology doi: 10.1016/j.jjcc.2016.02.021 – volume: 31 start-page: 995 year: 2015 ident: 602006_CR28 publication-title: International Journal of Cardiovascular Imaging doi: 10.1007/s10554-015-0656-4 |
| SSID | ssj0001537977 |
| Score | 2.3231397 |
| SecondaryResourceType | review_article |
| Snippet | The intersection of global broadband technology and miniaturized high-capability computing devices has led to a revolution in the delivery of healthcare and... |
| SourceID | doaj pubmedcentral proquest pubmed crossref springer bioscientifica |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | R41 |
| SubjectTerms | Artificial intelligence Cardiac Imaging Cardiology Medicine & Public Health mobile health Precision medicine Review Telemedicine Ultrasonic imaging |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Ni9UwEA-yB1FQ_La6SoT1IoZNmzYfx1V2WYQVERcWLyFJJ_hAW9Hu_-8k6Xv7qg-9eG2GkE5-SWaYmd8QciC876NRHUPXoWVtozxzkQcGSjgVG-B9rq06ey9Pz9t3F93FVquvlBNW6IGL4g4b6I1ENwZ0dK2M3vXgcI6-gTpEpTLPJzd8y5kq9cFCmdx2seFdl_IX27k4rxP88PjjB1Zrlp7Dm-SWXxXayJybs3yfMo3_LtvzzxTK3-Ko-Xk6uUNuz3YlPSr_c5dcg-EeuX42R87vk89HV5FqOkb6bfR4H9BSBvmaTpDSyIswdUNPk2IKuQRdbbF20mmkgDdmyGmshe36ATk_Of709pTNfRWYlw2fmHTeoJkS-qDwTDetdlyBdHjdxFrJEKR2ICUHIwyKop51bF2PF6FLfTogiodkbxgHeEyok50S2gXhuU8vmxEcgKuoe60B2qYir5bqtd8LiYZNzgfuhcW9sLW2aS9QeK16G2aG8tQo4-tu4YON8F_nfJP2cCOS2LTzB8SYnTFm_4WxiuyvEWDnI_7Tot2H5pw20lTkxWYYD2eKuLgBxkuUqbVJzZ2VrsijApjNSgTXiWxRVkQtoLRY6nJkWH3JBOBoRTaI7oq8XIPualk7dPDkf-jgKbmBtqIpWXL7ZG_6cQnP0B6b_PN89H4Bx8I00w priority: 102 providerName: Directory of Open Access Journals – databaseName: Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3ra9UwFA86QRQU31anRJhfxLC0afP4JFM2hjARcXDxS8hTL2g7t-7_9yTNvdfqZV_bQznNeSbn5HcQ2mPW-qhER2Dr0JK2EZaYSB0JghkRm0B9vlt18okfn7YfF92iHLhdlLbKlU_MjtoPLp2R70OYhegpFVfvzn6TNDUqVVfLCI3r6EYNmUga3SAWYnPG0jGh8vDFhnZd6mJsyxW9jtH9wy-fSS1JCoq30R27nMAjc4fOPEplMP9tGej_jZT_VFNzkDq6h-6W7BIfTOpwH10L_QN086TUzx-ibwebejUeIv41WPAKeLoM-RaPITWTT8TY9B4nvZogJvDyL-xOPA44gN90uZl1wrx-hE6PDr9-OCZlugKxvKEj4cYqSFacdwIsu2mloSJwA04n1oI7x6UJnNOgmALSUDsZW-PBHZo0rSNE9hjt9EMfniJseCeYNI5ZalN8A0mEQEWUXsoQ2qZCb-bLq88mKA2dtiAgCw2y0LXUSRZAvFp67QpOeRqX8XM78d6a-Mpvvk8yXJMkTO38YDj_rouJ6iZ4xWHDHGQ0LY_W-GBAW30D_x6FYBXaXWmALoZ-oTdqWaFX69dgoqnuYvowXAJNLVUa8SxkhZ5MCrPmhFGZIBd5hcRMlWaszt_0yx8ZBhxyyQa0u0KvV0q3YWvLGjy7mv3n6BbkgmrqgttFO-P5ZXgB-dZoX2aj-gPnCCpX priority: 102 providerName: ProQuest – databaseName: Scholars Portal Journals: Open Access dbid: M48 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3fi9QwEB7OE0RB8bfVUyKcL2K1bbr58SByyh2HcCLiwuFLSNqJLpytrj3Q_95J0t2z5yK-trNLOvkm-cJMvgHY5c61XstZTkeHOq8r6XLriyZHya30FRZtvFt19E4czuu3x7PjLVg14xwd-GPj0S70k5ovT57__P7rFQX8y9i9hxcv9j-8z0uVh93tAlyMiaJQwzfy_HRdmEsiOuP9vHO_uQJX3SIpR8bynOkWFZX8N9HPv6soz6VS4w51cB2ujdSS7SUs3IAt7G7CpaMxeX4LPu2dJatZ79nX3tGSwNJNyGdswFBJnoyZ7VoWQJX0JdjiD-FONvQMyW9NrGRNgte3YX6w__HNYT62VsidqIohF9ZpYipN20gK66pWtpAoLK04vpSiaYSyKESBmmsyxbJRvrYtrYU2tOpAz-_Adtd3eA-YFTPJlW24K1zY3DQvEAvpVasUYl1l8HTqXvMt6WiYcP6guTA0F6ZUJswFGa9cb5pRpDz0yjjZbLy7Nv7nf74Oc7g2CYLa8UG__GzG-DQVtlrQaRmVt7XwzrZoCaptRd_upeQZ7KwQYFYgNUT9iNEpLXQGj9evKT5D0sV22J-STal06O8sVQZ3E2DWI-GFCnqLIgM5gdJkqNM33eJL1AAnIlkRojN4sgLd2bA2-OD-f9o9gMvECHWqhduB7WF5ig-JdQ3uUYyo3ySgLNg priority: 102 providerName: Scholars Portal |
| Title | Application of mobile health, telemedicine and artificial intelligence to echocardiography |
| URI | http://dx.doi.org/10.1530/ERP-18-0081 https://link.springer.com/article/10.1530/ERP-18-0081 https://www.ncbi.nlm.nih.gov/pubmed/30844756 https://www.proquest.com/docview/2730648969 https://www.proquest.com/docview/2189547378 https://pubmed.ncbi.nlm.nih.gov/PMC6432977 https://doaj.org/article/2ed96825e8fa46fbadeaf2ed2e1cf773 |
| Volume | 6 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3fa9swED76A8YKG_vZeeuCxrqXMTPZsiX5sQ0pZZBSygphL0KyTzSw2WNz__-dbCepuzD2kgf7HGTdd9In3-kTwLFwrvKFymNaOmRxlioXW8_LGJWwyqfIq25v1fxCnl9nXxb5Ygfer_bC3M3f54J_nl1dxomOw8y1C_s5jbgBxlM53XxIyYUiEjPsvbv3zAE8csteFbIrvRlPP51K_zZq-XeF5L00aTf7nD2BxwNtZCe9n5_CDtbP4MF8SIw_h28nm0Q0azz70TgKd9bvcvzEWgxV4r0xs3XFAmB67Qi2vCPKydqGIQ2IZVel2otZv4Drs9nX6Xk8HJsQO5nyNpbWFcRCyqpUFLJppi1XKC2NJj5Rsiyltiglx0IUZIpJqX1mKxrnbDiGA714CXt1U-MrYFbmSmhbCsddmLgKwRG58rrSGjFLI_g47l7zs9fIMGFtQb4w5AuTaBN8QcarrjflIEAezsH4vt34eG38z_88DT5cmwSx7O4CYcgMsWdSrApJK2HU3mbSO1uhJRhWKb27V0pEcLRCgBki-LchWkdsTReyiODd-jbFXkio2BqbW7JJdBHOblY6gsMeMOuWCK6DlqKMQI2gNGrq-E69vOn0vYkkpoToCD6sQLdp1pY-eP2fdm_gIbG9oq9zO4K99tctviVG1boJ7KqFmsD-6ezi8mrSxdek-zpBv_NM_wGNvSKg |
| linkProvider | Springer Nature |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VrcRDAvEmUMBI7QUR1WsntnOoUAtbbWm3qqpWqnoxTmzDSpCUdivEn-O3Mc5jl4VVb70mo8jxPO2Z-QZglee59ZlMYzw6JHHCZB4bT4vYSW6kZ47aurdqtC-Gx8mnk_RkCX53vTChrLKzibWhtlUR7sjX0c2i91SZyN6f_YjD1KiQXe1GaJh2tILdqCHG2saOXffrJx7hLjZ2PiK_1xjbHhx9GMbtlIE4F4xOYmHyDJ12YQuJEs4SZah0wqDy-b4URSGUcUJQl_EMSV2_UD4xFs2CCVMrnOf43RuwnIQLlB4sbw32Dw5ntzwpl1k9_pHRNA11lEnbJJhyuj44PIj7Kg5u-Q7czccNfGVdIzTvJ-txAoti4P9LOf_J59Zucvs-3GvjW7LZCOQDWHLlQ7g5ajP4j-B0c5YxJ5Un36sc7RJp2jHfkYkL5ewNMTGlJUGyG5ALMv4LPZRMKuLQchd1OW2Duv0Yjq9l559Ar6xK9wyIEankyhQ8p3nwsBmnzlHplVXKuYRF8HZ-e_VZA-ahwyEIeaGRF7qvdOAFEndbr4sWKT0M7Pi2mHh1SnzlN7cCD6ckAdW7flCdf9GtkdDM2Uzgkd0pbxLhc2OdQX2xDP_dS8kjWOkkQLem5kLPFCOCN9PXaCRC5seUrrpEmr7KwpBpqSJ42gjMdCWcqgD6KCKQc6I0t9T5N-X4aw1EjtEsQ-mOYK0TutmyFuzB86uX_xpuDY9Ge3pvZ3_3BdzGyDRravJWoDc5v3QvMfqb5K9aFSPw-bq1-g-ecm7b |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELfGJk0ggfgmMMBI2wsiamon_niY0MZabYxV1cSkiRdjxzZUgmRsnRD_In8V58RpKVR722tzilzfd-7udwhtUmOsl7xIIXXI05xwk2qflanjVHNPXGab2aqjEds_yd-fFqcr6Hc3CxPaKjub2BhqW5fhG3kP3Cx4TyGZ7PnYFjHeG749-5GGDVKh0tqt09BxzYLdbuDG4pDHofv1E9K5i-2DPeD9FiHDwcd3-2ncOJAaRrJpyrSR4MBLW3KQdpILnXHHNCii73NWlkxox1jmJJVA6vql8Lm2YCJ02GDhPIX33kBrHLw-JIJru4PR-Hj-xaegXDarIElWFKGnMo8DgwXNeoPjcdoXaXDRt9BtM2mhLJt-oUWf2awWWBYP_9_W-U9tt3GZw7voTox18U4rnPfQiqvuo_WjWM1_gD7tzKvnuPb4e23ARuF2NPMNnrrQ2t4SY11ZHKS8BbzAk7-QRPG0xg6seNm01rYI3A_RybXc_CO0WtWVe4KwZgWnQpfUZCZ4W0kz5zLuhRXCuZwk6PXi9aqzFthDhYQIeKGAF6ovVOAFEHdXr8qImh6Wd3xbTrw5I77ynbuBhzOSgPDd_FCff1HRYCjirGSQvjvhdc680dZp0B1L4L97zmmCNjoJUNHsXKi5kiTo1ewxGIxQBdKVqy-Bpi9kWDjNRYIetwIzOwnNRACAZAniC6K0cNTFJ9XkawNKDpEtAelO0FYndPNjLbmDp1cf_yVaB-1WHw5Gh8_QTQhSZduet4FWp-eX7jkEglPzImoYRp-vW6n_AOlKcx8 |
| 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=Application+of+mobile+health%2C+telemedicine+and+artificial+intelligence+to+echocardiography&rft.jtitle=Echo+research+and+practice&rft.au=Seetharam%2C+Karthik&rft.au=Kagiyama%2C+Nobuyuki&rft.au=Sengupta%2C+Partho+P.&rft.date=2019-06-01&rft.pub=BioMed+Central&rft.eissn=2055-0464&rft.volume=6&rft.issue=2&rft.spage=R41&rft.epage=R52&rft_id=info:doi/10.1530%2FERP-18-0081&rft.externalDocID=10_1530_ERP_18_0081 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2055-0464&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2055-0464&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2055-0464&client=summon |