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JMIR Medical Informatics|November 6, 2025
Large Language Model Versus Manual Review for Clinical Data Curation in Breast Cancer: Retrospective Comparative StudyYoung-Joon Kang, Hocheol Lee, Jae Pak Yi, et al.
JMIR Medical Informatics|November 3, 2025
Performance of the Large Language Models on the Chinese National Nurse Licensure Examination: Cross-Sectional Evaluation StudyLonghui Xu, Xiao Cong, Renxiu Wang, et al.
JMIR Medical Informatics|November 3, 2025
Predicting Postoperative Stress Urinary Incontinence After Prolapse Surgery via Machine Learning and Regression Models: Development and Validation StudyMinna Su, Shuyu Wang, Xiaochun Liu
JMIR Medical Informatics|October 8, 2025
Organizing Telemonitoring-Decision-Making Between Centralized and Distributed Models in the Netherlands, Using the Non-Adoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework: Case StudyNienke Antine Elferink, Manon Jacqueline Roest, Anne Marie Weggelaar, et al.
JMIR Medical Informatics|October 7, 2025
Large Language Model-Enhanced Drug Repositioning Knowledge Extraction via Long Chain-of-Thought: Development and Evaluation StudyHongyu Kang, Jiao Li, Li Hou, et al.
JMIR Medical Informatics|October 16, 2025
Clinical Information Extraction From Notes of Veterans With Lymphoid Malignancies: Natural Language Processing StudyLu He, Matthew R Moldenhauer, Kai Zheng, et al.
JMIR Medical Informatics|October 13, 2025
Automated Chronic Obstructive Pulmonary Disease Phenotyping and Control Assessment in Primary Care: Retrospective Multicenter Study Using the Seleida ModelJosé David Maya Viejo, Fernando M Navarro Ros
JMIR Medical Informatics|October 10, 2025
Evaluation of Machine Learning Model Performance in Diabetic Foot Ulcer: Retrospective Cohort StudyVeerle Y van Velze, Hendrico L Burger, Tim J van der Steenhoven, et al.
JMIR Medical Informatics|September 25, 2025
Building a Standardized Cancer Synoptic Report With Semantic and Syntactic Interoperability: Development Study Using SNOMED CT and Fast Healthcare Interoperability Resources (FHIR)Jieun Hwang, Alexander K Goel, Brian A Rous, et al.
JMIR Medical Informatics|September 22, 2025
Machine Learning and Shapley Additive Explanations Value Integration for Predicting the Prognostic of Anti-N-Methyl-D-Aspartate Receptor Encephalitis: Model Development and Evaluation StudyJia Wang, Haotian Wu, Han Cai, et al.
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