[Cardiovascular age prediction based on large language models and prognostic value analysis in acute coronary syndrome patients].

PubMed 2026

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Authors: W F Liu, Y X Duan, Zhan Qi, K X Wang, Miaohan Qiu, J Li, Y Li, Y L Han
DOI: 10.3760/cma.j.cn112148-20251127-00831
Cited by: 0

Abstract

The application of large language model to predict cardiovascular age in ACS patients is feasible, and the Age-Gap exhibits a significant correlation with the risk of MACCE and mortality in this patient population. The cardiovascular age predicted by large language model offers a novel perspective for individualized risk assessment in ACS patients.

Fields of Study & Subjects

Artificial Intelligence in Healthcare Cardiac Imaging and Diagnostics Acute Myocardial Infarction Research

Publication details

Journal / source
PubMed
Volume
54
Issue
2
Pages
157–164
Publication date
24 February 2026
Language
ZH