Artificial Intelligence Readiness Among Young Family Doctors in Europe

Akyon S. H., Arman İ. H., Onur G., Abecasis R., Cöbek Ünalan G. P.

Annals of family medicine, vol.23, no.6, pp.542-545, 2025 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 23 Issue: 6
  • Publication Date: 2025
  • Doi Number: 10.1370/afm.250045
  • Journal Name: Annals of family medicine
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Abstracts in Social Gerontology, CINAHL, MEDLINE, Public Affairs Index, Nature Index
  • Page Numbers: pp.542-545
  • Keywords: artificial intelligence, digital technology, health services, primary care
  • Marmara University Affiliated: Yes

Abstract

We aimed to assess family doctors' readiness toward artificial intelligence (AI) in health care. We conducted a descriptive study using snowball sampling, targeting young family doctors. We administered a web-based questionnaire incorporating the validated medical AI readiness scale (MAIRS) via digital networks. A total of 134 participants from 20 European countries were included. MAIRS scores reflected variable readiness levels, with a median total of 69 of 110. Participants' readiness for AI increased significantly with their knowledge of its current applications and knowledge of AI usage in health care (P < .001, P = .013, respectively). The limited AI readiness highlights the need for tailored training and collaboration to support effective integration into primary care. Limitations of this study include sampling bias, small sample size, and lack of formal power analysis.