Effectiveness of Informed AI Use on Clinical Competence of General Practitioners and Internists: Pre-Post Intervention Study
Informed use of AI, based on tailored training, was associated with higher performance in test-based clinical decision-making assessments and greater confidence in using AI among GPs and internists. Building on previous research that often lacked structured training, focused primarily on model performance, or was limited in clinical scope, this study provides empirical evidence of both competence and perceptual improvement following informed AI use in a large, multinational cohort, enhancing the generalizability. These findings support the integration of structured AI training into medical education and continuing professional development to improve clinical performance and promote competent use of AI in clinical practice.
Authors
- Eyad A. Qunaibi (ORCID: https://orcid.org/0000-0003-0648-0757)
- Hussam I. Muhidat
- Baraa F. Ismail
- Ayman M. Al-Qaaneh
- Alaa K. Fawzy
- Najwa A. Musallam
- Farhia S. Rageh
Institutions
- Zagazig University (EG)
- King Hussein Cancer Center (JO)
- Al-Balqa Applied University (JO)
- PricewaterhouseCoopers (South Korea) (KR)
- PricewaterhouseCoopers (United States) (US)
- Jinan University (LB)
- PricewaterhouseCoopers (Canada) (CA)
- ILC Dover (United States) (US)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2026-01-20
- DOI
- https://doi.org/10.2196/75534
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00