Performance Evaluation and Implications of Large Language Models in Radiology Board Exams: Prospective Comparative Analysis
GPT-4 and Tongyi Qianwen show promise in medical education and training. The study emphasizes the need for domain-specific training datasets to enhance large language models' effectiveness in specialized fields like radiology.
Authors
- Boxiong Wei (ORCID: https://orcid.org/0000-0001-6206-9319)
Institutions
- Peking University (CN)
- Peking University First Hospital (CN)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2024-12-03
- DOI
- https://doi.org/10.2196/64284
- Citations
- 14
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.68