Structured clinical reasoning prompt enhances LLM’s diagnostic capabilities in diagnosis please quiz cases
Our results indicate that a structured clinical reasoning approach enhances LLM's diagnostic accuracy. This method shows potential as a valuable tool for deriving diagnoses from free-text clinical information. The approach aligns well with established clinical reasoning processes, suggesting its potential applicability in real-world clinical settings.
Authors
- Ryo Kurokawa (ORCID: https://orcid.org/0000-0002-1186-8900)
- Akifumi Hagiwara (ORCID: https://orcid.org/0000-0001-5277-3249)
- Osamu Abe (ORCID: https://orcid.org/0000-0002-1180-2629)
- Yusuke Asari
- Wataru Gonoi (ORCID: https://orcid.org/0000-0002-5018-4683)
- Jun Kanzawa (ORCID: https://orcid.org/0009-0008-8203-8665)
- Yuki Sonoda (ORCID: https://orcid.org/0009-0005-8622-2433)
- Takahiro Fukushima
Institutions
- Juntendo University (JP)
- The University of Tokyo (JP)
Publication Details
- Journal
- Japanese Journal of Radiology
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1007/s11604-024-01712-2
- Citations
- 22
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.65
Funders
- University of Tokyo