<p>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.</p>

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

  • 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

摘要

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.