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This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (127) Decision Support for Health Professionals (1685) Electronic Health Records (1410) Machine Learning (2297) Computer-Aided Diagnosis (285)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62862, first published .
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

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

Authors of this article:

Liesbeth Hunik1 Author Orcid Image ;   Asma Chaabouni1 Author Orcid Image ;   Twan van Laarhoven2 Author Orcid Image ;   Tim C Olde Hartman1 Author Orcid Image ;   Ralph T H Leijenaar3 Author Orcid Image ;   Jochen W L Cals3 Author Orcid Image ;   Annemarie A Uijen1 Author Orcid Image ;   Henk J Schers1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

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 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