# Impact of Large Language Models on Medical Education and Teaching Adaptations

## TL;DR

This article discusses how large language models can transform medical education by improving teaching and learning, while also addressing the challenges and ethical concerns that come with their use.

## Contribution

The article provides a comprehensive analysis of how LLMs can reshape medical education and proposes strategies for educators to effectively integrate these technologies.

## Key findings

- LLMs can enhance teaching quality and personalize learning in medical education.
- Challenges include information accuracy, overreliance on technology, and ethical concerns.
- Educators should adapt teaching strategies to cultivate critical thinking and practical skills.

## Abstract

This viewpoint article explores the transformative role of large language models (LLMs) in the field of medical education, highlighting their potential to enhance teaching quality, promote personalized learning paths, strengthen clinical skills training, optimize teaching assessment processes, boost the efficiency of medical research, and support continuing medical education. However, the use of LLMs entails certain challenges, such as questions regarding the accuracy of information, the risk of overreliance on technology, a lack of emotional recognition capabilities, and concerns related to ethics, privacy, and data security. This article emphasizes that to maximize the potential of LLMs and overcome these challenges, educators must exhibit leadership in medical education, adjust their teaching strategies flexibly, cultivate students’ critical thinking, and emphasize the importance of practical experience, thus ensuring that students can use LLMs correctly and effectively. By adopting such a comprehensive and balanced approach, educators can train health care professionals who are proficient in the use of advanced technologies and who exhibit solid professional ethics and practical skills, thus laying a strong foundation for these professionals to overcome future challenges in the health care sector.