Integrating Artificial Intelligence in the Medical Curriculum: Approaches and Strategies

The integration of Artificial Intelligence in Medicine (AIM) into medical curricula has become essential, yet it presents challenges in balancing theoretical concepts with practical applications. This paper details the development, implementation, and evaluation of an AIM course for medical students, reflecting on insights from its first year of implementation. The preparatory phase involved aligning institutional goals, designing an accessible syllabus, and addressing the scarcity of tailored materials for practical works. Results revealed a disparity between students' understanding of theoretical concepts and their application to medical scenarios, with areas like ontologies and NLP proving challenging. Lessons learned led to course revisions, including expanded content on formal logic and prompt engineering. Broader reflections from workshops emphasized the need for interdisciplinary collaboration. These experiences provide a roadmap for integrating AIM into medical education, preparing future doctors to embrace new technologies.