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

ABSTRACT: Artificial intelligence (AI)-based diagnostic prediction models could aid primary care (PC) in decision-making for faster and more accurate diagnoses. AI has the potential to transform electronic health records (EHRs) data into valuable diagnostic prediction models. Different prediction models based on EHR have been developed. However, there are currently no systematic reviews that evaluate AI-based diagnostic prediction models for PC using EHR data. This study aims to evaluate the content of diagnostic prediction models based on AI and EHRs in PC, including risk of bias and applicability. This systematic review was performed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. MEDLINE, Embase, Web of Science, and Cochrane were searched.

SUBMITTER: Hunik L 

PROVIDER: S-EPMC12373303 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature