Vyzkoušejte nový nástroj s podporou AI
Summon Research Assistant
BETA
A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity
Goodman-Meza, David, Rudas, Akos, Chiang, Jeffrey N., Adamson, Paul C., Ebinger, Joseph, Sun, Nancy, Botting, Patrick, Fulcher, Jennifer A., Saab, Faysal G., Brook, Rachel, Eskin, Eleazar, An, Ulzee, Kordi, Misagh, Jew, Brandon, Balliu, Brunilda, Chen, Zeyuan, Hill, Brian L., Rahmani, Elior, Halperin, Eran, Manuel, Vladimir
Published in PloS one (22.09.2020)
Published in PloS one (22.09.2020)
Get full text
Journal Article
Diagnostic and comparative performance for the prediction of tuberculous pleural effusion using machine learning algorithms
Liu, Yanqing, Liang, Zhigang, Yang, Jing, Yuan, Songbo, Wang, Shanshan, Huang, Weina, Wu, Aihua
Published in International journal of medical informatics (Shannon, Ireland) (01.02.2024)
Published in International journal of medical informatics (Shannon, Ireland) (01.02.2024)
Get full text
Journal Article
Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection
Raciti, Patricia, Sue, Jillian, Retamero, Juan A., Ceballos, Rodrigo, Godrich, Ran, Kunz, Jeremy D., Casson, Adam, Thiagarajan, Dilip, Ebrahimzadeh, Zahra, Viret, Julian, Lee, Donghun, Schüffler, Peter J., DeMuth, George, Gulturk, Emre, Kanan, Christopher, Rothrock, Brandon, Reis-Filho, Jorge, Klimstra, David S., Reuter, Victor, Fuchs, Thomas J.
Published in Archives of pathology & laboratory medicine (1976) (01.10.2023)
Published in Archives of pathology & laboratory medicine (1976) (01.10.2023)
Get full text
Journal Article
How artificial intelligence might disrupt diagnostics in hematology in the near future
Walter, Wencke, Haferlach, Claudia, Nadarajah, Niroshan, Schmidts, Ines, Kühn, Constanze, Kern, Wolfgang, Haferlach, Torsten
Published in Oncogene (24.06.2021)
Published in Oncogene (24.06.2021)
Get full text
Journal Article
AI-Driven Diagnostic Assistance in Medical Inquiry: Reinforcement Learning Algorithm Development and Validation
Zou, Xuan, He, Weijie, Huang, Yu, Ouyang, Yi, Zhang, Zhen, Wu, Yu, Wu, Yongsheng, Feng, Lili, Wu, Sheng, Yang, Mengqi, Chen, Xuyan, Zheng, Yefeng, Jiang, Rui, Chen, Ting
Published in Journal of medical Internet research (23.08.2024)
Published in Journal of medical Internet research (23.08.2024)
Get full text
Journal Article
A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis
Harris, Miriam, Qi, Amy, Jeagal, Luke, Torabi, Nazi, Menzies, Dick, Korobitsyn, Alexei, Pai, Madhukar, Nathavitharana, Ruvandhi R., Ahmad Khan, Faiz
Published in PloS one (03.09.2019)
Published in PloS one (03.09.2019)
Get full text
Journal Article
Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System
Sekhar, Ardhendu, Biswas, Soumen, Hazra, Ranjay, Sunaniya, Arun Kumar, Mukherjee, Amrit, Yang, Lixia
Published in IEEE journal of biomedical and health informatics (01.03.2022)
Published in IEEE journal of biomedical and health informatics (01.03.2022)
Get full text
Journal Article
Performance analysis of machine learning algorithms and screening formulae for β–thalassemia trait screening of Indian antenatal women
Das, Reena, Saleh, Sarkaft, Nielsen, Izabela, Kaviraj, Anilava, Sharma, Prashant, Dey, Kartick, Saha, Subrata
Published in International journal of medical informatics (Shannon, Ireland) (01.11.2022)
Published in International journal of medical informatics (Shannon, Ireland) (01.11.2022)
Get full text
Journal Article
Machine intelligence in non-invasive endocrine cancer diagnostics
Thomasian, Nicole M, Kamel, Ihab R, Bai, Harrison X
Published in Nature reviews. Endocrinology (01.02.2022)
Published in Nature reviews. Endocrinology (01.02.2022)
Get full text
Journal Article
Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases
Burlina, Philippe, Paul, William, Mathew, Philip, Joshi, Neil, Pacheco, Katia D, Bressler, Neil M
Published in JAMA ophthalmology (01.10.2020)
Published in JAMA ophthalmology (01.10.2020)
Get full text
Journal Article
Rapid breath analysis for acute respiratory distress syndrome diagnostics using a portable two-dimensional gas chromatography device: Rapid breath analysis for acute respiratory distress syndrome diagnostics using a portable two-dimensional gas chromatography device
Zhou, Menglian, Sharma, Ruchi, Zhu, Hongbo, Li, Ziqi, Li, Jiliang, Wang, Shiyu, Bisco, Erin, Massey, Justin, Pennington, Amanda, Sjoding, Michael, Dickson, Robert P., Park, Pauline, Hyzy, Robert, Napolitano, Lena, Gillies, Christopher E., Ward, Kevin R., Fan, Xudong
Published in Analytical and bioanalytical chemistry (01.09.2019)
Published in Analytical and bioanalytical chemistry (01.09.2019)
Get full text
Journal Article
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Gulshan, Varun, Peng, Lily, Coram, Marc, Stumpe, Martin C, Wu, Derek, Narayanaswamy, Arunachalam, Venugopalan, Subhashini, Widner, Kasumi, Madams, Tom, Cuadros, Jorge, Kim, Ramasamy, Raman, Rajiv, Nelson, Philip C, Mega, Jessica L, Webster, Dale R
Published in JAMA : the journal of the American Medical Association (13.12.2016)
Published in JAMA : the journal of the American Medical Association (13.12.2016)
Get full text
Journal Article
Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual
Lei, Du, Pinaya, Walter H. L., Young, Jonathan, Amelsvoort, Therese, Marcelis, Machteld, Donohoe, Gary, Mothersill, David O., Corvin, Aiden, Vieira, Sandra, Huang, Xiaoqi, Lui, Su, Scarpazza, Cristina, Arango, Celso, Bullmore, Ed, Gong, Qiyong, McGuire, Philip, Mechelli, Andrea
Published in Human brain mapping (01.04.2020)
Published in Human brain mapping (01.04.2020)
Get full text
Journal Article
Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas
van IJzendoorn, David G. P., Szuhai, Karoly, Briaire-de Bruijn, Inge H., Kostine, Marie, Kuijjer, Marieke L., Bovée, Judith V. M. G.
Published in PLoS computational biology (01.02.2019)
Published in PLoS computational biology (01.02.2019)
Get full text
Journal Article