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Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62862, first published .
Doctor consulting with a patient in an office with medical equipment.

Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review

Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review

Journals

  1. Hunik L, Uijen A, Kueper J, Terry A, olde Hartman T, van Laarhoven T, Schers H. The role and utility of artificial intelligence and machine learning for diagnostic prediction in general practice. European Journal of General Practice 2026;32(1) View
  2. Lu A, Srikanth V, Westworth S, Baey Y, Moran C, Beare R, Siostrom K, Andrew N, Collyer T. Electronic health record-based prediction models for dementia detection: a systematic review of model performance and quality. Journal of the American Medical Informatics Association 2026;33(6):1210 View
  3. Ghazalbash S, Zargoush M, JT Guilcher S, Kuluski K. Responsible AI for Predicting Delayed Hospital Discharge Among Older Adults: Development and Evaluation Study for Balancing Accuracy, Equity, and Explainability. JMIR Medical Informatics 2026;14:e83244 View
  4. Zhang S, Ren N, Yin Q, Yang C, Nie L, Zhao J, Liu Y, Huang J, Chen Y. Interpretable machine learning to predict NOAF in ICU patients with CKD: validation in US and Chinese cohorts. Frontiers in Medicine 2026;13 View