Performance of GPT-3.5 and GPT-4 on the Japanese Medical Licensing Examination: Comparison Study
Shimane University · University of Michigan · +2 more institutions
Indexed incrossrefdoajpubmed
Abstract
Background
The competence of ChatGPT (Chat Generative Pre-Trained Transformer) in non-English languages is not well studied.
Objective
This study compared the performances of GPT-3.5 (Generative Pre-trained Transformer) and GPT-4 on the Japanese Medical Licensing Examination (JMLE) to evaluate the reliability of these models for clinical reasoning and medical knowledge in non-English languages.
Citation impact
288
total citations
- FWCI
- 10.41
- Percentile
- 100%
- References
- 21
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Transformer
- Competence (human resources)
- Generative grammar
- Computer science
- Psychology
- Medical education
- Internal medicine
- Artificial intelligence
UN Sustainable Development Goals
- Quality Education
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