Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions.

ABSTRACT: The integration of large language models (LLMs), such as those in the Generative Pre-trained Transformers (GPT) series, into medical education has the potential to transform learning experiences for students and elevate their knowledge, skills, and competence. Drawing on a wealth of professional and academic experience, we propose that LLMs hold promise for revolutionizing medical curriculum development, teaching methodologies, personalized study plans and learning materials, student assessments, and more. However, we also critically examine the challenges that such integration might pose by addressing issues of algorithmic bias, overreliance, plagiarism, misinformation, inequity, privacy, and copyright concerns in medical education. As we navigate the shift from an information-driven educ

SUBMITTER: Abd-Alrazaq A 

PROVIDER: S-EPMC10273039 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature