Large Language Model Agent for Managing Patients With Suspected Hypertension
Cascade Framework can improve the management of hypertension. Its extensible architecture allows integration with existing clinical workflows while providing transparent reasoning pathways.
Authors
- Siyi Cheng (ORCID: https://orcid.org/0009-0009-1234-3290)
- Long Tang (ORCID: https://orcid.org/0009-0001-4894-4858)
- Jinjun Liu
- Wuping Tan (ORCID: https://orcid.org/0000-0003-0454-1632)
- Chen Peng (ORCID: https://orcid.org/0009-0002-8617-9349)
- Peng Jin (ORCID: https://orcid.org/0000-0003-0032-8914)
- Tongjian Zhu (ORCID: https://orcid.org/0000-0002-7932-4950)
- Jun Wang (ORCID: https://orcid.org/0000-0002-7863-0331)
- Yijun Wang (ORCID: https://orcid.org/0009-0009-1051-1916)
- Bing Wu (ORCID: https://orcid.org/0009-0005-8640-6371)
- Fanglin Qin (ORCID: https://orcid.org/0009-0008-5414-2836)
Institutions
- Wannan Medical College (CN)
- Hubei University of Medicine (CN)
- Sun Yat-sen University (CN)
- Bengbu Medical College (CN)
- Sichuan University (CN)
- Wuhan University (CN)
- West China Hospital of Sichuan University (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Hubei University of Arts and Science (CN)
- Beijing Xuanwu Traditional Chinese Medicine Hospital (CN)
- Xiangyang Central Hospital (CN)
- Renmin Hospital of Wuhan University (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- Hypertension
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1161/hypertensionaha.125.25305
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.27