Get started
Work

Large language models for acute coronary syndrome triage at first medical contact in emergency departments

Year: 2026
Type: article
Abstract: Acute coronary syndrome triage at first medical contact begins with patient narratives, while definitive diagnosis often requires waiting for cardiac troponin or electrocardiogram results. We developed TriageMaster-70B, a large language model using only patient narratives and vital signs for the triage. In 16,428 retrospective and 512 prospective cases, it showed high sensitivity, with per-case processing 39% faster than independent retrospective cardiologist review. These findings suggest TriageMaster-70B may support rapid, accurate, and interpretable triage in emergency departments. Clinical trial registration: ClinicalTrials.gov NCT06493175; first posted September 20, 2024.
DOI: 10.1038/s41746-026-02904-y
Authors: Xuliang Wang, Wenyao Wang, Ling Li, Jingjia Wang, Xiangyu Yan, Paula Pei Li, Jun Lv, Canqing Yu, Da Liu, Chunli Shao, Jing Chen, Kuo Zhang, Hua Xu, Guan Wang, Mingqi Zheng, Mengdan Miao, Shuanli Xin, Chuanjie Wu, Yuwei Wu, Hongxing Luo, Xiangbin Meng
Institutions: Peking University Third Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin University, Tsinghua University, Peking University, Shenzhen Third People’s Hospital, Fu Wai Hospital, State Key Laboratory of Cardiovascular Disease, Hong Kong University of Science and Technology, Tsinghua–Berkeley Shenzhen Institute, Hebei Medical University, First Affiliated Hospital of Hebei Medical University, Capital Medical University, Xuan Wu Hospital of the Capital Medical University, Peking University School and Hospital of Stomatology, Oslo University Hospital, Maastricht University, Peng Cheng Laboratory
Language: English
Open Access status: gold
Estimated APC paid: $4,090
Funders: National Natural Science Foundation of China, Capital Medical University, Peking University, Peking University Third Hospital, Hebei Medical University, National Health Commission of the People's Republic of China, National Key Research and Development Program of China
OpenAlex ID: W7165054329
FWCI:
Cites:
Cited by:
Related to: