Training Physicians in AI for Healthcare: Challenges and Perspectives
Seance of wednesday 16 april 2025 (Intelligence Artificielle et Chirurgie)
DOI number : 10.26299/tepw-c352/2025.15.01
Abstract
With the rise of artificial intelligence (AI) in healthcare, training medical has become essential to address the growing complexity of care, the aging population, and increasing demand. AI offers solutions in assisted diagnosis, personalized treatments, and process optimization.
Since the decree of November 10, 2022, the initial training of future physicians must include 28 hours dedicated to cybersecurity, health data, digital tools, telemedicine, and communication. Dual engineer-physician degree programs are also offered, notably in several major institutions in Lyon, Nancy, Bordeaux, Saint-Étienne, and Paris.
In parallel, many continuing and specialized training programs are emerging: the DU “AI & Health,” the Datathon IA4Care (University of Burgundy), the DIU in Generative AI, the Executive Master in e-Health, as well as the “INeS Mondays” webinar series. These initiatives aim to strengthen professionals’ expertise in using AI for diagnosis, data management, and care improvement.
It remains essential to preserve core medical competencies by maintaining hybrid training programs, both with and without the use of AI.
These initial and continuing education programs aim to equip physicians with technical, cognitive, and collaborative skills for a thoughtful use of AI. It is regarded as a complementary tool, not a replacement for the physician.
Since the decree of November 10, 2022, the initial training of future physicians must include 28 hours dedicated to cybersecurity, health data, digital tools, telemedicine, and communication. Dual engineer-physician degree programs are also offered, notably in several major institutions in Lyon, Nancy, Bordeaux, Saint-Étienne, and Paris.
In parallel, many continuing and specialized training programs are emerging: the DU “AI & Health,” the Datathon IA4Care (University of Burgundy), the DIU in Generative AI, the Executive Master in e-Health, as well as the “INeS Mondays” webinar series. These initiatives aim to strengthen professionals’ expertise in using AI for diagnosis, data management, and care improvement.
It remains essential to preserve core medical competencies by maintaining hybrid training programs, both with and without the use of AI.
These initial and continuing education programs aim to equip physicians with technical, cognitive, and collaborative skills for a thoughtful use of AI. It is regarded as a complementary tool, not a replacement for the physician.