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Artificial intelligence in medical education revolutionizes learning by providing personalized training and simulations, enhancing students’ diagnostic and decision-making skills. It also offers access to vast databases for research and interactive learning, improving overall medical knowledge and practice. The objective of this study is to investigate the use of AI in the theoretical and practical training of medical students in Morocco. Methods: cross-sectional study, Cluster probability sampling was used, and data were collected using a questionnaire in electronic format. Results: 344 responses were received, the prevalence of AI use in theoretical training was $55 \%$, with $95 \%$ CI [50.3$59.5 \%], 83 \%$ of students agree that AI can improve understanding of complex medical concepts, $45 \%$ of students use AI in the field of anatomy, $\mathbf{4 7 \%}$ of students disagree that AI violates the confidentiality and security of medical data. The majority of students perceive the integration of artificial intelligence in the healthcare field as positive, and even wish to benefit from training in artificial intelligence and its various applications, so as to be able to take full advantage of its potential and benefits.
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DOI: 10.1109/iccsc62074.2024.10616755
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