A comparison of the diagnostic ability of large language models in challenging clinical cases
This research underscores the variation in model performance in clinical scenarios and highlights the importance of considering diagnostic model performance in diverse clinical scenarios prior to deployment. Furthermore, we provide a new tool to assess LLM output.
Authors
- Eoin Daniel O’Sullivan
- Maria Palwasha Khan
Institutions
- The University of Queensland (AU)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2024-08-05
- DOI
- https://doi.org/10.3389/frai.2024.1379297
- Citations
- 10
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.20