Knowledge, Readiness, and Attitude toward AI in Healthcare Education among Undergraduate Students

Artificial Intelligence (AI) has rapidly advanced in healthcare and is increasingly being integrated into health professions education. As an innovative technology, AI offers opportunities to support the learning process, strengthen clinical reasoning, and provide more personalized educational experiences. It also has the potential to transform traditional teaching methods by offering simulation-based learning, intelligent tutoring systems, and improved access to digital health information. Despite these promising developments, several challenges remain. Students’ knowledge, readiness, and attitudes play a central role in determining how effectively AI can be adopted and utilized in educational settings. Limited digital literacy, concerns about ethical implications, and varying levels of confidence toward new technologies are some of the critical issues that may influence the acceptance of AI in education. This preliminary study aims to provide an initial overview of these aspects through a review of selected international literature focusing on undergraduate health students. Rather than presenting empirical findings, the study seeks to map existing perspectives and highlight the importance of preparing students for the digital transformation in healthcare education. By identifying key areas of opportunity and challenge, this early exploration is expected to serve as a foundation for future empirical research and to inform the development of adaptive strategies that will better equip students for the integration of AI into health education.