The paper "Current Status of ChatGPT Utilization in Medical Education: Potentials, Challenges and Strategies" by Tianhui Xu, Huiting Weng, Fang Liu, Li Yang, Yuanyuan Luo, Ziwei Ding, and Qin Wang explores the integration of ChatGPT in medical education. ChatGPT, a Generative Pre-trained Transformer, has gained significant attention since its introduction in early 2023, offering personalized learning support and simulating clinical scenarios to enhance teaching and learning processes. However, the paper highlights several challenges, including over-reliance on ChatGPT, academic plagiarism, ensuring the timeliness and accuracy of generated content, and ethical concerns such as algorithmic discrimination and data security. To address these challenges, the authors propose targeted strategies. These include mitigating over-reliance on ChatGPT through ideological education and fostering comprehensive competencies, enhancing the professionalism and reliability of generated content by optimizing training data and improving transparency, and establishing relevant laws or codes of practice to address ethical concerns. The paper concludes that while ChatGPT presents significant potential in medical education, it also encounters various challenges. Comprehensive research and the implementation of suitable strategies are necessary to harness its positive impact, advancing the discipline and fostering the development of high-caliber medical professionals.The paper "Current Status of ChatGPT Utilization in Medical Education: Potentials, Challenges and Strategies" by Tianhui Xu, Huiting Weng, Fang Liu, Li Yang, Yuanyuan Luo, Ziwei Ding, and Qin Wang explores the integration of ChatGPT in medical education. ChatGPT, a Generative Pre-trained Transformer, has gained significant attention since its introduction in early 2023, offering personalized learning support and simulating clinical scenarios to enhance teaching and learning processes. However, the paper highlights several challenges, including over-reliance on ChatGPT, academic plagiarism, ensuring the timeliness and accuracy of generated content, and ethical concerns such as algorithmic discrimination and data security. To address these challenges, the authors propose targeted strategies. These include mitigating over-reliance on ChatGPT through ideological education and fostering comprehensive competencies, enhancing the professionalism and reliability of generated content by optimizing training data and improving transparency, and establishing relevant laws or codes of practice to address ethical concerns. The paper concludes that while ChatGPT presents significant potential in medical education, it also encounters various challenges. Comprehensive research and the implementation of suitable strategies are necessary to harness its positive impact, advancing the discipline and fostering the development of high-caliber medical professionals.