Performance of large language artificial intelligence models on solving restorative dentistry and endodontics student assessments
While LLMAs could support clinicians to answer dental field-related questions, this capacity depends strongly on the employed model. The most performant model ChatGPT-4.0o achieved acceptable accuracy rates in some subject sub-categories analyzed.
Authors
- Sebastian Paris (ORCID: https://orcid.org/0000-0002-1302-8761)
- Paul Künzle
Institutions
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Clinical Oral Investigations
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1007/s00784-024-05968-w
- Citations
- 35
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 4.21
Funders
- Charité – Universitätsmedizin Berlin