Opportunities, challenges, and future directions of large language models, including ChatGPT in medical education: a systematic scoping review
Hallym University · Children's Hospital of Zhejiang University
Indexed incrossrefdoajpubmed
Abstract
Background
ChatGPT is a large language model (LLM) based on artificial intelligence (AI) capable of responding in multiple languages and generating nuanced and highly complex responses. While ChatGPT holds promising applications in medical education, its limitations and potential risks cannot be ignored.
Methods
A scoping review was conducted for English articles discussing ChatGPT in the context of medical education published after 2022. A literature search was performed using PubMed/MEDLINE, Embase, and Web of Science databases, and information was extracted from the relevant studies that were ultimately included.
Citation impact
121
total citations
- FWCI
- 12.88
- Percentile
- 100%
- References
- 57
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Computer science
- Data science
- Medical education
- Medicine
UN Sustainable Development Goals
- Quality Education
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