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JMIR AI|March 31, 2026
Legal and Ethical Challenges in Integrating AI Into Clinical Practice: Qualitative Study of Physicians' Real-World ExperiencesMehrnaz Mostafapour, Jacqueline Fortier, Karen Pacheco, et al.
JMIR AI|April 30, 2026
Participant-Aware Model Validation for Repeated-Measures Data: Comparative Cross-Validation StudyAbdolamir Karbalaie, Farhad Abtahi, Charlotte K Häger
JMIR AI|March 25, 2026
Fuzzy Logic Approaches for Causal Inference in Health Care: Systematic ReviewJaime Jamett, Patricio Melendez, Ximena Collao-Ferrada, et al.
JMIR AI|March 18, 2026
Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation StudyVitria Wuri Handayani, Mieke Sylvia Margaretha Amiatun Ruth, Riries Rulaningtyas, et al.
JMIR AI|April 13, 2026
Using Machine Learning to Improve Screening for Oropharyngeal Dysphagia in Hospitalized Versus Primary Care Adult Patients With COVID-19 Disease: Retrospective Observational StudyCristina Amadó Ruiz, Alberto Martín, Jaume Miró Ramos, et al.
JMIR AI|April 22, 2026
Integrating Confidence, Difficulty, and Language Model Calibration for Better Explainability in Clinical Documents Coding: Applications of AIMihai Horia Popescu, Kevin Roitero, Vincenzo Della Mea
JMIR AI|May 20, 2026
Large Language Models in Clinical Trial Recruitment: Sociotechnical and Economic Framework Development StudyQian Qian
JMIR AI|May 20, 2026
Artificial Intelligence Remote Patient Monitoring for Predicting Overall Survival for Patients Undergoing Radical Cystectomy for Bladder Cancer: Exploratory Analysis of the Prospective TrialYansong Liu, Pramit Khetrapal, Ronnie Strafford, et al.
JMIR AI|June 8, 2026
Simulated Reasoning and Self-Verification for Psychiatric Diagnosis in Generalist Large Language Models: Comparative EvaluationKarthik V Sarma, Kaitlin E Hanss, Andrew J M Halls, et al.
JMIR AI|June 1, 2026
Estimating a Physiological Lung Function Score and Biological Sex Using Pulmonary Function Tests and Machine Learning: Retrospective StudyPatrick W Johnson, Zachary S Quicksall, Jieun Lee, et al.
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