Abstract
The integration of artificial intelligence (AI) in education presents a transformative opportunity to keep pace with technological advancements. In medical education, AI can personalize training, improve diagnostic skills through simulations, and enhance access to databases. However, its implementation faces significant challenges, including high costs, ethical concerns, and risks to academic integrity. In Kazakhstan, despite strategic goals for digitalization, these global challenges are compounded by local barriers. This review aims to analyze the benefits and challenges of AI integration in medical education based on international and national literature and to develop recommendations for stakeholders in Kazakhstan.A scoping review of 34 relevant sources (up to May 2025) was conducted using PubMed, Web of Science, Scopus, and Google Scholar databases, with a specific focus on studies related to Kazakhstan.The analysis confirmed AI's significant potential to enhance education. However, several critical barriers were identified in Kazakhstan: a low level of AI literacy among students (up to 95.3% lack specialized knowledge) and faculty, pronounced infrastructural inequality between regions, and a deficit in local scientific capacity.For the successful integration of AI, Kazakhstan must shift its focus from merely implementing technology to cultivating human capital. Bridging the gap between AI's potential and the system's actual readiness requires systemic actions: large-scale training of personnel, fostering interdisciplinaryresearch, and creating an equitable, ethically grounded educational ecosystem.Keywords:medical education, artificial intelligence, digital health, Kazakhstan.