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JMIR Medical Informatics|May 27, 2025
Health Information Exchange Usage in Japan: Content Analysis of Audit LogsJun Suzumoto, Yukiko Mori, Tomohiro Kuroda
JMIR Medical Informatics|September 2, 2026
A Conceptual Model for Ambient AI Adoption: Perspectives From Academia and IndustryJoshua Biro, Jesse M Pines, Sudha Jayaraman, et al.
JMIR Medical Informatics|September 11, 2026
Quantifying the Impact of Anonymization-Induced Clinical Data Quality Loss: Methodological Quantitative Case Study Using Primary Diagnosis Codes and Hospital Length of StayGaetan Kamdje Wabo, Piotr Pawel Sokolowski, Mahboubeh Jannesari Ladani, et al.
JMIR Medical Informatics|September 14, 2026
Locally Deployed Large Language Models for AI-Assisted Outpatient Prescription Review: Crossover StudyZhengyue Liu, Yi Ding, Jingxia Chen, et al.
JMIR Medical Informatics|September 16, 2026
Reinforcement Learning-Based Temporal Knowledge Graph Reasoning for Predicting Chronic Gastritis Diagnosis and Treatment: Development and Validation StudyXiaolong Qu, Zhou Sun, Yuhang Wang, et al.
JMIR Medical Informatics|September 25, 2026
Symptom Terminology Normalization in Traditional Chinese Medicine: Development and Evaluation of a 2-Stage Deep Learning Framework Based on Fine-Grained Semantic ClassificationJunyu Yao, Xingyue Gou, Wei Lai, et al.
JMIR Medical Informatics|September 29, 2026
Detecting Misspelled Drug Names Using Transformer-Based Language Models: Model Development and External ValidationJiayu Lu, Kevin W McConeghy, Andrew R Zullo, et al.
JMIR Medical Informatics|October 15, 2026
A Machine Learning Framework for Predicting Functional Status and Estimating Health Care Costs in Pulmonary Arterial Hypertension: Retrospective Cohort StudyMira Kramer, Tilmann Kramer
JMIR Medical Informatics|October 15, 2026
Concept-Aware Learning Framework for Detecting Common Symptoms in Social Media Text: Model Development and Evaluation StudyMichael Van Supranes, Shaowen Peng, Tomohiro Nishiyama, et al.
JMIR Medical Informatics|October 13, 2026
Support-Seeking After Market Withdrawal of a Purpose-Built AI Well-Being Tool (Ash): Cross-Sectional SurveyCaitlin A Stamatis, Kaylee P Kruzan, Josh Hsu, et al.
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