Leveraging large language models for preoperative prevention of cardiopulmonary bypass-associated acute kidney injury
The prediction model can predict CPB-AKI risk earlier after fuzing the clinical characteristics and their semantics. Preoperative assessment and intraoperative interventions provide decision-making to prevent CPB-AKI.
Authors
- Shan Nan (ORCID: https://orcid.org/0000-0002-7807-3125)
- Xudong Lü (ORCID: https://orcid.org/0000-0001-7658-5250)
- Huilong Duan (ORCID: https://orcid.org/0000-0003-3893-213X)
- Rui Zheng (ORCID: https://orcid.org/0000-0002-6643-6435)
- Ling Lin (ORCID: https://orcid.org/0000-0002-8573-1608)
- Kai Wang (ORCID: https://orcid.org/0009-0004-6559-2585)
Institutions
- Zhejiang A & F University (CN)
- Hainan University (CN)
- Sir Run Run Shaw Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Renal Failure
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1080/0886022x.2025.2509786
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China