Impact of Large Language Models on Medical Education and Teaching Adaptations

Abstract

This viewpoint article explores the transformative impact of Chat Generative Pre-trained Transformer (ChatGPT) on medical education, highlighting its opportunities and challenges. ChatGPT, a product of OpenAI, leverages advanced deep learning models to offer diverse applications, including enhancing teaching efficiency, facilitating personalized learning, reinforcing clinical skills training, improving medical teaching assessment, enhancing efficiency in medical research, and supporting continuing medical education. While presenting promising opportunities, the integration of ChatGPT in medical education raises concerns about response accuracy, overreliance, lack of emotional intelligence, and privacy and data security risks. The article underscores the imperative need to carefully address these challenges, outlining future pathways to bolster medical information accuracy, fortify privacy and data security, and promote synergy between ChatGPT and other artificial intelligence technologies in medical education. It highlights the adaptability and transformative significance of educators amid the widespread integration of ChatGPT in medical education. Educators must consistently uphold a leadership role, guiding students in the ethical and effective use of ChatGPT, nurturing independent thinking, and honing critical reasoning skills. Safeguarding the quality and integrity of medical education in this dynamic technological era remains paramount.