Large language models for acute coronary syndrome triage at first medical contact in emergency departments.
retrospective_cohort · Level III
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- Record sourced from PubMed, PMID 42310091.
- Also identified by DOI 10.1038/s41746-026-02904-y.
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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.