Evaluating the performance of generative AI in assisting the differential diagnosis of weight loss
Domestic GenAI models exhibit a characteristic of "breadth over precision" in the differential diagnosis of weight loss, with DeepSeek-V3 performing better at key diagnostic levels. Although the sensitivity and precision for the top-ranked diagnosis require improvement, these models have the potential to serve as effective clinical decision support tools, broadening the diagnostic perspectives of general practitioners.
Authors
- Yunhong Zhang (ORCID: https://orcid.org/0000-0003-0103-7633)
- Ying LIU
- Jingjing REN
- Dongping CAI
Institutions
- Community Health Center (US)
- First Affiliated Hospital Zhejiang University (CN)
- Dali University (CN)
Publication Details
- Journal
- Journal of Zhejiang University (Medical Sciences)
- Published
- 2026-01-01
- DOI
- https://doi.org/10.3724/zdxbyxb-2025-0463
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Zhejiang University