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JMIR AI|June 14, 2024
Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing ModelsElvira Nurmambetova, Jie Pan, Zilong Zhang, et al.
JMIR AI|January 23, 2026
Leveraging Large Language Models to Improve the Readability of German Online Medical Texts: Evaluation StudyAmela Miftaroski, Richard Zowalla, Martin Wiesner, et al.
JMIR AI|January 16, 2026
Treatment Recommendations for Clinical Deterioration on the Wards: Development and Validation of Machine Learning ModelsEric Pulick, Kyle A Carey, Tonela Qyli, et al.
JMIR AI|February 5, 2026
Exploring Clinician Perspectives on Artificial Intelligence in Primary Care: Qualitative Systematic Review and Meta-SynthesisRobin Bogdanffy, Alisa Mundzic, Peter Nymberg, et al.
JMIR AI|February 10, 2026
Evaluating Large Language Model-Generated Clinical Summaries Through a Dual-Perspective Framework: Retrospective Observational StudyBrian Han, Traci Barnes, Charitha D Reddy, et al.
JMIR AI|December 8, 2025
Explainable AI-Driven Comparative Analysis of Machine Learning Models for Predicting HIV Viral Nonsuppression in Ugandan Patients: Retrospective Cross-Sectional StudyFrancis Ngema, Albert Whata, Micheal O Olusanya, et al.
JMIR AI|December 4, 2025
Machine Learning-Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and ValidationSamuel Kakraba, Srinivas Ayyadevara, Aayire Yadem Clement, et al.
JMIR AI|December 4, 2025
Clinical Large Language Model Evaluation by Expert Review (CLEVER): Framework Development and ValidationVeysel Kocaman, Mustafa Aytuğ Kaya, Andrei Marian Feier, et al.
JMIR AI|November 19, 2025
Exploring Primary Care Patients' Perspectives on Artificial Intelligence: Systematic Literature Review and Qualitative Meta-SynthesisAlisa Mundzic, Robin Bogdanffy, David Sundemo, et al.
JMIR AI|November 19, 2025
Leveraging Large Language Models and Machine Learning for Success Analysis in Robust Cancer Crowdfunding Predictions: Quantitative StudyRuna Bhaumik, Abhishikta Roy, Vineet Srivastava, et al.
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