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JMIR Medical Informatics|July 24, 2026
Clinically Interpretable Deep Learning for Differentiating Vitiligo and Postinflammatory Hypopigmentation: Diagnostic Accuracy StudyAmal Adel Alzu'bi, Shadi Al Khateeb, Bassam M Elzaghmouri, et al.JMIR Medical Informatics|August 12, 2026
A Machine Learning-Based Model to Predict Overactive Bladder Risk Among US Women: Evidence From the National Health and Nutrition Examination Survey 2011-2018Guoqiang Huang, Shuangquan LinJMIR Medical Informatics|August 25, 2026
GPT-4o-Powered Preanesthetic AI: Development and Validation StudyBo-Han Lin, Cheng-Wei Lu, I-Ching Hou, et al.JMIR Medical Informatics|August 20, 2026
Prediction of Atrial Fibrillation Occurrence With Handheld Mobile Electrocardiogram: Deep Learning Model Development Using Real-World DataMinje Park, Hyun Jin Ahn, Yeongyeon Na, et al.JMIR Medical Informatics|December 13, 2022
Pan-Canadian Electronic Medical Record Diagnostic and Unstructured Text Data for Capturing PTSD: Retrospective Observational StudyLeanne Kosowan, Alexander Singer, Farhana Zulkernine, et al.JMIR Medical Informatics|October 15, 2020
Predictive Models of Mortality for Hospitalized Patients With COVID-19: Retrospective Cohort StudyTaiyao Wang, Aris Paschalidis, Quanying Liu, et al.JMIR Medical Informatics|October 7, 2020
Feasibility of Asynchronous and Automated Telemedicine in Otolaryngology: Prospective Cross-Sectional StudyDongchul Cha, Seung Ho Shin, Jungghi Kim, et al.JMIR Medical Informatics|October 27, 2020
Data Object Exchange (DOEx) as a Method to Facilitate Intraorganizational Collaboration by Managed Data Sharing: ViewpointRonald G Hauser, Ankur Bhargava, Ronald Talmage, et al.JMIR Medical Informatics|October 27, 2020
Institution-Specific Machine Learning Models for Prehospital Assessment to Predict Hospital Admission: Prediction Model Development StudyToru Shirakawa, Tomohiro Sonoo, Kentaro Ogura, et al.JMIR Medical Informatics|September 15, 2020
Correction: Good News and Bad News About Incentives to Violate the Health Insurance Portability and Accountability Act (HIPAA): Scenario-Based Questionnaire StudyJoana Gaia, Xunyi Wang, Chul Woo Yoo, et al.Pageof 198