@article{10.22454/FamMed.2026.939793,
author = {Cabrol, Antoine and Portet, Florent and Escourrou, Emile and Dupouy, Julie and Delahaye, Motoko and Oustric, Stéphane},
title = {Artificial Intelligence in Family Medicine: A Comparative Study of Use, Attitudes, Ethics, and Training Needs Between Residents and Supervisors},
journal = {Family Medicine},
volume = {58},
number = {6},
year = {2026},
month = {6},
pages = {427-433},
doi = {10.22454/FamMed.2026.939793},
abstract = {Background and Objectives: Artificial intelligence (AI) offers significant potential to support various aspects of general practitioners’ (GPs’) work but raises important ethical questions. This study explored and compared AI use and the related attitudes, ethical concerns, and training needs of GP residents and supervisors.
Methods: We conducted a cross-sectional, self-administered online survey among second-and third-year GP residents and supervisors in Toulouse (France). The survey examined AI use, attitudes, ethical considerations, and training needs. We compared groups using bivariate analysis to explore potential generational differences (P<0.05).
Results: A total of 175 GP residents and 402 supervisors responded. Overall, 21% of respondents reported using AI in medical practice. Residents expressed greater familiarity with AI and less need for control and transparency than supervisors. Top ethical concerns included plagiarism, cognitive off-loading, and reasoning limitations. Training was desired by 91% of supervisors and 71% of residents.
Conclusions: Our results highlight generational differences in technology acceptance and a strong demand for AI training. Study limitations included risk of data obsolescence, nonresponse, selection bias, and a monocentric sample. These findings underscore the need to develop targeted AI training programs and implement formal safeguards to regulate AI use in academic settings.},
URL = {https://journals.stfm.org//familymedicine/2026/june/cabrol-0371/},
eprint = {https://journals.stfm.org//media/bvgf2bqx/fammed-58-427.pdf},
}