Evaluation of Six Large Language Models for Clinical Decision Support: Application in Transfusion Decision-making for RhD Blood-type Patients
: GPT-4o showed the best overall performance among the models tested and may be beneficial in RhD blood product transfusion decision-making. However, its performance suggests that it may serve best in a supportive role rather than as a primary decision-making tool.
Authors
- Jong Kwon Lee (ORCID: https://orcid.org/0000-0002-6230-1242)
- Duck Cho (ORCID: https://orcid.org/0000-0001-6861-3282)
- Sholhui Park (ORCID: https://orcid.org/0000-0002-6467-427X)
- Sooin Choi (ORCID: https://orcid.org/0000-0003-4746-4809)
- Sang‐Hyun Hwang (ORCID: https://orcid.org/0000-0003-3201-5728)
Institutions
- Ulsan College (KR)
- Ewha Womans University (KR)
- Soonchunhyang University (KR)
- Asan Medical Center (KR)
- Samsung Medical Center (KR)
- University of Ulsan (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- Annals of Laboratory Medicine
- Published
- 2025-04-28
- DOI
- https://doi.org/10.3343/alm.2024.0588
- Citations
- 3
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 7.44