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JMIR Medical Informatics|October 7, 2024
Use of SNOMED CT in Large Language Models: Scoping ReviewEunsuk Chang, Sumi Sung
JMIR Medical Informatics|July 31, 2024
Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability StudyFadi Aljamaan, Mohamad-Hani Temsah, Ibraheem Altamimi, et al.
JMIR Medical Informatics|October 30, 2024
Leveraging Artificial Intelligence and Data Science for Integration of Social Determinants of Health in Emergency Medicine: Scoping ReviewEthan E Abbott, Donald Apakama, Lynne D Richardson, et al.
JMIR Medical Informatics|October 15, 2024
Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic ReviewAbolfazl Mollalo, Bashir Hamidi, Leslie A Lenert, et al.
JMIR Medical Informatics|August 9, 2024
Recognition of Daily Activities in Adults With Wearable Inertial Sensors: Deep Learning Methods StudyAlberto De Ramón Fernández, Daniel Ruiz Fernández, Miguel García Jaén, et al.
JMIR Medical Informatics|August 1, 2024
Unsupervised Feature Selection to Identify Important ICD-10 and ATC Codes for Machine Learning on a Cohort of Patients With Coronary Heart Disease: Retrospective StudyPeyman Ghasemi, Joon Lee
JMIR Medical Informatics|May 12, 2025
The Advanced Reasoning Capabilities of Large Language Models for Detecting Contraindicated Options in Medical ExamsYuichiro Yano, Mizuki Ohashi, Taiju Miyagami, et al.
JMIR Medical Informatics|May 27, 2025
Using Large Language Models to Enhance Exercise Recommendations and Physical Activity in Clinical and Healthy Populations: Scoping ReviewXiangxun Lai, Jiacheng Chen, Yue Lai, et al.
JMIR Medical Informatics|May 15, 2025
Extracting Multifaceted Characteristics of Patients With Chronic Disease Comorbidity: Framework Development Using Large Language ModelsJunyan Zhang, Junchen Zhou, Liqin Zhou, et al.
JMIR Medical Informatics|May 19, 2025
Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and ValidationYike Li, Mingyang Xiao, Yaqian Li, et al.
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