The Role of Artificial Intelligence and Personalized Education in Medical Curriculum: A Systematic Review of Applications and Challenges

        Artificial Intelligence (AI) is a trend of Technology; a “Game-changer” that affects many various industries; including Medical Education. Using Personalized Education (PE)\PL has the potential to transform Medical Education by providing individualized learning experiences that cater to the unique needs of medical students. This systematic review aims to analyze and synthesize the existing literature about the role of Artificial Intelligence (AI) and personalized education in Medical curricula. A total of 20 studies published between 2013 and 2023 were included in the review, which focused on the impact of AI and PE on medical curricula; learning outcomes, student engagement, and satisfaction. A comprehensive search was conducted in major databases such as PubMed, Scopus, EKB, and Web of Science; using relevant keywords. The search terms used included "Artificial Intelligence", "Personalized Education", "Adaptive Learning", "Intelligent Tutoring Systems", "Machine Learning", "Deep Learning", and "Natural Language Processing”. The results of the review indicate that the role of AI and PE in Medical curricula is multifaceted and can be applied in various ways; such as improving students' understanding of complex medical concepts, leading to better learning outcomes, developing Intelligent Tutoring Systems; that provide personalized feedback and guidance to medical students, analyzing student data, providing recommendations for individualized instruction and supporting assessment and evaluation processes. The integration of AI into the medical curriculum can also enhance learning outcomes, student engagement, and satisfaction by tailoring instruction to their specific needs.  However, several challenges need to be addressed to ensure the ethical and effective integration of AI and personalized education into medical curricula; including concerns about data privacy and security, transparency, potential bias, and discrimination. Future research should focus on developing best practices for integrating AI and personalized education into medical curricula. Overall, the review suggests that AI has the potential to enhance learning outcomes, engagement, and satisfaction in personalized education, but careful consideration of ethical concerns is needed to ensure the effective and ethical integration of AI.