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JMIR Medical Informatics|June 15, 2026
Predicting Laboratory Test Ordering in Emergency Departments Using Integrated Structured and Unstructured Electronic Health Records: Machine Learning StudyXingyu Zhang, Haipeng Ling, Xin Zhang, et al.
JMIR Medical Informatics|June 18, 2026
Evaluation of Five Large Language Models for Parental Education in Pediatric Anesthesia: Reliability and Readability StudyFulin Pu, Jishuang Hong, Xiaoying Wei, et al.
JMIR Medical Informatics|August 18, 2019
Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic ReviewJiayi Shen, Casper J P Zhang, Bangsheng Jiang, et al.
JMIR Medical Informatics|June 2, 2021
Ethical Applications of Artificial Intelligence: Evidence From Health Research on VeteransChristos Makridis, Seth Hurley, Mary Klote, et al.
JMIR Medical Informatics|June 23, 2026
US Virgin Islands Launches Modernized NBS 7 Disease Surveillance System to Transform Public Health: Implementation ReportHannah M Cranford, Terri Pietka, Leah de Wilde, et al.
JMIR Medical Informatics|January 20, 2021
Towards The Automated, Empirical Filtering of Drug-Drug Interaction Alerts in Clinical Decision Support Systems: Historical Cohort Study of Vitamin K AntagonistsEmmanuel Chazard, Augustin Boudry, Patrick Emanuel Beeler, et al.
JMIR Medical Informatics|June 22, 2026
Leveraging Large Language Models to Integrate Clinical Knowledge and Machine Learning Predictions for Lymph Node Metastasis Prediction: Development of a Knowledge-Augmented FrameworkHongying Yu, Bing Liu, Xian Zeng, et al.
JMIR Medical Informatics|June 24, 2026
Ambient AI Scribe Implementation in an Ambulatory Setting in a Single Medical Group: Prospective StudyCameron J Harvey, Josiah Morita, William Huynh, et al.
JMIR Medical Informatics|July 3, 2026
Graph Network Feature Space Fusion for Predicting Irregularly Sampled Medical Time-Series Data: Deep Learning Model Development and Validation StudyTianle Hong, Zedong Ren, Junfei Fang, et al.
JMIR Medical Informatics|July 8, 2026
The Orphanet Nomenclature and Classification of Rare Diseases for Improved Patient Recognition and Data Interoperability: Qualitative and Quantitative AnalysisCaterina Lucano, David Lagorce, Annie Olry, et al.
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