Assessing DeepSeek-R1 for Clinical Decision Support in Multidisciplinary Laboratory Medicine
DeepSeek-R1 demonstrates potential for a decision-support tool in clinical laboratory medicine, particularly in generating diagnostic hypotheses and recommending diagnostic workups. However, its performance in differential diagnosis and handling specific clinical nuances remains limited. Future work should focus on expanding training data, integrating clinical ontologies, and incorporating physician feedback to improve real-world applicability. DeepSeek-R1 and the new versions under development may be promising tools for non-medical professionals and professionals in medical laboratory diagnoses.
Authors
- Qiaoxing Li (ORCID: https://orcid.org/0009-0001-4744-6937)
- Xinjian Cai (ORCID: https://orcid.org/0009-0003-0006-0396)
- Lili Zhan (ORCID: https://orcid.org/0009-0006-5721-858X)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- National Cancer Center (US)
Publication Details
- Journal
- Journal of Multidisciplinary Healthcare
- Published
- 2025-08-01
- DOI
- https://doi.org/10.2147/jmdh.s538253
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65