A large language model improves clinicians’ diagnostic performance in complex critical illness cases
For diagnostically difficult critical illness cases, DeepSeek-R1 generates high-quality information, achieves reasonable diagnostic accuracy, and significantly improves residents' diagnostic accuracy and efficiency. Reasoning models are suggested to be promising diagnostic adjuncts in intensive care units.
Authors
- Xing Wu (ORCID: https://orcid.org/0000-0002-1368-1621)
- Qing He (ORCID: https://orcid.org/0000-0001-6182-7421)
- Yü Huang (ORCID: https://orcid.org/0000-0002-1277-6784)
Institutions
- Third People's Hospital of Chengdu (CN)
Publication Details
- Journal
- Critical Care
- Published
- 2025-06-06
- DOI
- https://doi.org/10.1186/s13054-025-05468-7
- Citations
- 17
- Primary Topic
- Clinical Reasoning and Diagnostic Skills
- Type
- article
- Field-Weighted Citation Impact
- 25.77