Document Type : Review Article
Authors
1
Department of Psychology, Paris Nanterre University, Paris, France.
2
Periodontologist, Faculty of Dentistry, Aix-Marseille University, Marseille, France.
10.22034/meb.2024.491888.1102
Abstract
Background: The integration of artificial intelligence (AI) in education presents a transformative opportunity to keep pace with technological advancements. This review examines the benefits and challenges of AI integration in medical education through an analysis of existing literature and case studies, and it provides recommendations for stakeholders.
Materials and Methods: This review utilized online databases, including PubMed, Web of Science, Scopus, ERIC, EMBASE, and Google Scholar, to identify relevant studies on the integration of AI in medical education up to May 2024. The search focused on literature discussing both the benefits and challenges associated with AI in this field. Two independent reviewers assessed the quality of eligible studies and conducted the selection process.
Results: Findings indicate that AI technologies enable personalized training by tailoring educational content to individual learning styles, thereby enhancing both engagement and knowledge retention. They also improve diagnostic skills through realistic simulations, effectively preparing students for real-world clinical scenarios. Additionally, AI enhances access to extensive databases, facilitating research and interactive learning, which allows students to engage efficiently with vast amounts of information. However, challenges such as high development costs, resistance to change among educators, and cybersecurity risks present substantial obstacles to effective integration. Ethical concerns regarding data privacy and algorithmic bias further threaten to undermine academic integrity and erode student trust.
Conclusion: The integration of AI in medical education presents a transformative opportunity to enhance the learning experience for future healthcare professionals. AI technologies can provide personalized training, improve diagnostic skills, and grant access to extensive databases, thereby enriching medical knowledge and practice. However, challenges such as ethical considerations and the need for seamless integration into existing curricula must be addressed.
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