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JMIR AI|October 24, 2025
Development and Evaluation of a Retrieval-Augmented Generation Chatbot for Orthopedic and Trauma Surgery Patient Education: Mixed-Methods StudyDavid Baur, Jörg Ansorg, Christoph-Eckhard Heyde, et al.
JMIR AI|October 21, 2025
Aiding Large Language Models Using Clinical Scoresheets for Neurobehavioral Diagnostic Classification From Text: Algorithm Development and ValidationKaiying Lin, Abdur Rasool, Saimourya Surabhi, et al.
JMIR AI|October 17, 2025
Comparison of Japanese Mpox (Monkeypox) Health Education Materials and Texts Created by Artificial Intelligence: Cross-Sectional Quantitative Content Analysis StudyShinya Ito, Emi Furukawa, Tsuyoshi Okuhara, et al.
JMIR AI|July 3, 2025
Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation StudyOcéane Dorémus, Dylan Russon, Benjamin Contrand, et al.
JMIR AI|July 4, 2025
Evaluation of ChatGPT Performance on Emergency Medicine Board Examination Questions: Observational StudyMila Pastrak, Sten Kajitani, Anthony James Goodings, et al.
JMIR AI|July 4, 2025
Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar FracturesDavid C Sing, Kishan S Shah, Michael Pompliano, et al.
JMIR AI|July 3, 2025
Comparative Performance of Medical Students, ChatGPT-3.5 and ChatGPT-4.0 in Answering Questions From a Brazilian National Medical Exam: Cross-Sectional Questionnaire StudyMateus Rodrigues Alessi, Heitor Augusto Gomes, Gabriel Oliveira, et al.
JMIR AI|July 3, 2025
Supervised Natural Language Processing Classification of Violent Death Narratives: Development and Assessment of a Compact Large Language ModelSusan T Parker
JMIR AI|July 3, 2025
Striking a Balance: Innovation, Equity, and Consistency in AI Health TechnologiesEric Perakslis, Kimberly Nolen, Ethan Fricklas, et al.
JMIR AI|July 4, 2025
Identifying New Risk Associations Between Chronic Physical Illness and Mental Health Disorders in China: Machine Learning Approach to a Retrospective Population AnalysisLizhong Liang, Tianci Liu, William Ollier, et al.
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