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JMIR Medical Informatics|December 2, 2025
Artificial Intelligence-Based Computerized Digit Vigilance Test in Community-Dwelling Older Adults: Development and Validation StudyGong-Hong Lin, Dorothy Bai, Yi-Jing Huang, et al.
JMIR Medical Informatics|April 22, 2024
Reducing Firearm Access for Suicide Prevention: Implementation Evaluation of the Web-Based "Lock to Live" Decision Aid in Routine Health Care EncountersJulie Angerhofer Richards, Elena Kuo, Christine Stewart, et al.
JMIR Medical Informatics|April 17, 2024
A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication SelectionFlory L Nkoy, Bryan L Stone, Yue Zhang, et al.
JMIR Medical Informatics|April 18, 2024
Development of a Trusted Third Party at a Large University Hospital: Design and Implementation StudyEric Wündisch, Peter Hufnagl, Peter Brunecker, et al.
JMIR Medical Informatics|December 15, 2023
Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic ReviewAdrien Bazoge, Emmanuel Morin, Béatrice Daille, et al.
JMIR Medical Informatics|December 28, 2023
A Pragmatic Method to Integrate Data From Preexisting Cohort Studies Using the Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model: Case StudyKeiichi Matsuzaki, Megumi Kitayama, Keiichi Yamamoto, et al.
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.
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