Computer-Aided Diagnosis

Combinatorial Use of Machine Learning and Logistic Regression for Predicting Carotid Plaque Risk Among 5.4 Million Adults With Fatty Liver Disease Receiving Health Check-Ups: Population-Based Cross-Sectional Study

Yuhan Deng, Yuan Ma, Jingzhu Fu, Xiaona Wang, Canqing Yu, Jun Lv, Sailimai Man, Bo Wang, Liming Li

JMIR Public Health Surveill 2023 (Sep 07); 9:e47095

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Smartphone App–Based and Paper-Based Patient-Reported Outcomes Using a Disease-Specific Questionnaire for Dry Eye Disease: Randomized Crossover Equivalence Study

Ken Nagino, Yuichi Okumura, Yasutsugu Akasaki, Kenta Fujio, Tianxiang Huang, Jaemyoung Sung, Akie Midorikawa-Inomata, Keiichi Fujimoto, Atsuko Eguchi, Shokirova Hurramhon, Alan Yee, Maria Miura, Mizu Ohno, Kunihiko Hirosawa, Yuki Morooka, Akira Murakami, Hiroyuki Kobayashi, Takenori Inomata

J Med Internet Res 2023 (Aug 03); 25:e42638

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Effects of Combinational Use of Additional Differential Diagnostic Generators on the Diagnostic Accuracy of the Differential Diagnosis List Developed by an Artificial Intelligence–Driven Automated History–Taking System: Pilot Cross-Sectional Study

Yukinori Harada, Shusaku Tomiyama, Tetsu Sakamoto, Shu Sugimoto, Ren Kawamura, Masashi Yokose, Arisa Hayashi, Taro Shimizu

JMIR Form Res 2023 (Aug 02); 7:e49034

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Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review

Seng Hansun, Ahmadreza Argha, Siaw-Teng Liaw, Branko G Celler, Guy B Marks

J Med Internet Res 2023 (Jul 03); 25:e43154

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Accuracy of a Standalone Atrial Fibrillation Detection Algorithm Added to a Popular Wristband and Smartwatch: Prospective Diagnostic Accuracy Study

Jasper L Selder, Henryk Jan Te Kolste, Jos Twisk, Marlies Schijven, Willem Gielen, Cornelis P Allaart

J Med Internet Res 2023 (May 26); 25:e44642

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Optometrists' Perspectives Regarding Artificial Intelligence Aids and Contributing Retinal Images to a Repository: Web-Based Interview Study

Aurora Constantin, Malcolm Atkinson, Miguel Oscar Bernabeu, Fiona Buckmaster, Baljean Dhillon, Alice McTrusty, Niall Strang, Robin Williams

JMIR Hum Factors 2023 (May 25); 10:e40887

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User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study

Yeganeh Shahsavar, Avishek Choudhury

JMIR Hum Factors 2023 (May 17); 10:e47564

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Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach

Matthew-David Ogbechie, Christa Fischer Walker, Mu-Tien Lee, Amina Abba Gana, Abimbola Oduola, Augustine Idemudia, Matthew Edor, Emily Lark Harris, Jessica Stephens, Xiaoming Gao, Pai-Lien Chen, Navindra Etwaroo Persaud

JMIR AI 2023 (May 12); 2:e44432

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Clinical Validation of an Artificial Intelligence–Based Tool for Automatic Estimation of Left Ventricular Ejection Fraction and Strain in Echocardiography: Protocol for a Two-Phase Prospective Cohort Study

Stelios Hadjidimitriou, Efstathios Pagourelias, Georgios Apostolidis, Ioannis Dimaridis, Vasileios Charisis, Constantinos Bakogiannis, Leontios Hadjileontiadis, Vassilios Vassilikos

JMIR Res Protoc 2023 (Mar 13); 12:e44650

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