Evaluating Bard Gemini Pro and GPT-4 Vision Against Student Performance in Medical Visual Question Answering: Comparative Case Study
Our study shows that GPT-4 1106 Vision Preview and Bard Gemini Pro have potential in medical visual question-answering tasks and to serve as a support for students. However, their performance varies depending on the language used, with a preference for German. They also have limitations in responding to non-English content. The accuracy rates, particularly when compared to student responses, highlight the potential of these models in medical education, yet the need for further optimization and understanding of their limitations in diverse linguistic contexts remains critical.
Authors
- Robert Kaczmarczyk (ORCID: https://orcid.org/0000-0002-8570-1601)
- Ron Martin (ORCID: https://orcid.org/0009-0000-0248-537X)
- Jonas Roos (ORCID: https://orcid.org/0000-0001-8843-4695)
Institutions
- University Hospital Bonn (DE)
- BG Klinikum Bergmannstrost Halle (DE)
- Technical University of Munich (DE)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2024-12-17
- DOI
- https://doi.org/10.2196/57592
- Citations
- 14
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.68
Funders
- Rheinische Friedrich-Wilhelms-Universität Bonn