Perceptions and Adoption of Artificial Intelligence (AI) in Medical Education: A Single-Center Cross-Sectional Survey among University Professors in Casablanca, Morocco

Artificial intelligence (AI) is increasingly being integrated into various areas of medical practice. Although it has proven effective in certain specialties, medical schools have yet to incorporate AI into their curricula. This is largely due to the lack of strong evidence supporting its educational benefits. The aim of our study was to assess the perception, use, and satisfaction of professors at the Faculty of Medicine and Pharmacy of Casablanca regarding the integration of AI-based tools into medical education. Methods: We conducted a cross-sectional study using an online and paper-form questionnaire distributed to university professors. Results: We collected 136 responses. There was a slight female predominance (52.2%). The median teaching experience was 10 years (range 1 - 35 years). Only 19.1% reported using AI in their teaching methods [CI 13.4% - 26.5%]. However, 66% believed AI could help students better understand complex concepts, and 76.5% felt it could support personalized learning. Meanwhile only 25.7% of the university professors agreed that the use of AI can free them for tasks. However, concerns from the teachers remain regarding the reduction of the human aspect of the medical profession (60%) and the potential negative impact on the doctor-patient relationship (42%). The main challenges that were anticipated were a lack of training and resistance from colleagues. Conclusion: Despite existing concerns, our study reveals a growing interest among professors in integrating AI into medical education.