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JMIR AI|July 3, 2025
The Diagnostic Performance of Large Language Models and Oral Medicine Consultants for Identifying Oral Lesions in Text-Based Clinical Scenarios: Prospective Comparative StudySarah AlFarabi Ali, Hebah AlDehlawi, Ahoud Jazzar, et al.
JMIR AI|July 3, 2025
Deep Learning Models to Predict Diagnostic and Billing Codes Following Visits to a Family Medicine Practice: Development and Validation StudyAkshay Rajaram, Michael Judd, David Barber
JMIR AI|January 7, 2026
Assessing the Quality of AI Responses to Patient Concerns About Axial Spondyloarthritis: Delphi-Based EvaluationJiaxin Bai, Xiaojian Ji, Jiali Yu, et al.
JMIR AI|December 18, 2025
Physical Examination Identification in Medical Education Videos: Zero-Shot Multimodal AI With Temporal Sequence Optimization StudyShinyoung Kang, Michael Holcomb, David Hein, et al.
JMIR AI|February 6, 2026
Ambient AI Documentation and Patient Satisfaction in Outpatient Care: Retrospective Pilot StudyEric Davis, Sarah Davis, Kristina Haralambides, et al.
JMIR AI|September 10, 2025
Diagnostic and Screening AI Tools in Brazil's Resource-Limited Settings: Systematic ReviewLeticia Medeiros Mancini, Luiz Eduardo Vanderlei Torres, Jorge Artur P de M Coelho, et al.
JMIR AI|September 18, 2025
Large Language Model-Supported Identification of Intellectual Disabilities in Clinical Free-Text Summaries: Mixed Methods StudyAleksandra Edwards, Antonio F Pardiñas, George Kirov, et al.
JMIR AI|October 13, 2025
Deep Learning Models to Screen Electronic Health Records for Breast and Colorectal Cancer Progression: Performance Evaluation StudyPascal Lambert, Rayyan Khan, Marshall Pitz, et al.
JMIR AI|August 22, 2025
Effectiveness of the GPT-4o Model in Interpreting Electrocardiogram Images for Cardiac Diagnostics: Diagnostic Accuracy StudyHaya Engelstein, Roni Ramon-Gonen, Avi Sabbag, et al.
JMIR AI|February 24, 2025
Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and ValidationPer Niklas Waaler, Musarrat Hussain, Igor Molchanov, et al.
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