Journal of the American Board of Family Medicine : JABFM
37015805
Family medicine continues to evolve in response to new technologies, new theories, and new problems to address. This issue of JABFM includes studies on the integration of artificial intelligence into primary care, thoughts on how medicine can address...
Journal of the Chinese Medical Association : JCMA
37294147
BACKGROUND: Chat Generative Pre-trained Transformer (ChatGPT), OpenAI Limited Partnership, San Francisco, CA, USA is an artificial intelligence language model gaining popularity because of its large database and ability to interpret and respond to va...
Journal of the American Board of Family Medicine : JABFM
38740475
BACKGROUND: The potential for machine learning (ML) to enhance the efficiency of medical specialty boards has not been explored. We applied unsupervised ML to identify archetypes among American Board of Family Medicine (ABFM) Diplomates regarding the...
Canadian family physician Medecin de famille canadien
38499374
OBJECTIVE: To understand the current landscape of artificial intelligence (AI) for family medicine (FM) research in Canada, identify how the College of Family Physicians of Canada (CFPC) could support near-term positive progress in this field, and st...
Journal of the American Board of Family Medicine : JABFM
39455278
Artificial Intelligence (AI) is poised to revolutionize family medicine, offering a transformative approach to achieving the Quintuple Aim. This article examines the imperative for family medicine to adapt to the rapidly evolving field of AI, with an...
Journal of the American Board of Family Medicine : JABFM
39455271
Artificial intelligence (AI) is certainly going to have a large, potentially huge, impact on the practice of family medicine. The specialty is fortunate to have leading experts in the field to guide us along the way. One such team of forward thinkers...
Health-related quality of life (HRQol) is a crucial dimension of care outcomes. Many HRQoL measures exist, but methodological and implementation challenges impede primary care (PC) use. We aim to develop and evaluate a novel machine learning (ML) alg...
BACKGROUND: As health care moves to a more digital environment, there is a growing need to train future family doctors on the clinical uses of artificial intelligence (AI). However, family medicine training in AI has often been inconsistent or lackin...