ChatGPT-4 Turbo and Meta’s LLaMA 3.1: A Relative Analysis of Answering Radiology Text-Based Questions
GPT-4 Turbo consistently outperformed LLaMA 3.1 in answering pediatric radiology questions, both overall and within most subsections. These findings suggest that GPT-4 Turbo may offer more accurate responses in specialized medical education, in contrast to LLaMA 3.1's efficient performance, although future research should further evaluate AI models' performance within other fields.
Authors
- Keyur Parekh
- Abdul Samad (ORCID: https://orcid.org/0000-0001-6518-6131)
- Pokhraj P Suthar (ORCID: https://orcid.org/0000-0001-7909-123X)
- Mohammed Abdul Sami
Institutions
- Rush University Medical Center (US)
- Des Moines University Osteopathic Medical Center (US)
Publication Details
- Journal
- Cureus
- Published
- 2024-11-24
- DOI
- https://doi.org/10.7759/cureus.74359
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.12