Aim: To map recent artificial intelligence research in family medicine and primary care against an earlier 2015–2024 bibliometric baseline. Methods: Scopus was searched on 9 July 2026 for 2016–2026 publications. One researcher screened 3452 articles and reviews; 132 topical and 13 language exclusions left 3307 records. Manual title, DOI, and Scopus-identifier checks identified no duplicates. VOSviewer 1.6.21 and Biblioshiny (Bibliometrix 5.4.1; R 4.6.1) supported descriptive analysis and mapping. Results: Output increased from 531 in 2024 to 792 in 2025 (49.2%). The 2025 and partial 2026 component contained 1407 records (42.5%); 615 were dated 2026. The USA led publication and raw citation rankings (711 publications; 18,671 citations), while China preceded the United Kingdom in publication count. The Journal of Medical Internet Research (78 publications) and Scientific Reports (69) led the venues; seven top ten venues were shared with the earlier study. Language model terminology coexisted with later-positioned explainability, risk stratification, and diagnostic accuracy terms. Conclusions: This updated map quantifies post-2024 activity and identifies continuity and corpus-dependent differences in geography, dissemination, and evaluation-related vocabulary. Single-database and English language coverage, single-researcher screening, unadjusted citations, and incomplete 2026 coverage limit inference. The findings describe research activity, not clinical adoption, safety, effectiveness, or causality.
No takes yet. Share an insight, caveat, or question.
Baran et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: