[Development of a deep learning model for predicting adverse cardiovascular events in patients with acute coronary syndrome based on retinal fundus images].

PubMed 2026

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Authors: Y D Ding, R X Feng, J Y Han, L Lin, Y Zhang, Z H Zhao, W J Wang, T X Zhao, S J Zhou, J H Xiong, Yong Zeng
DOI: 10.3760/cma.j.cn112148-20251009-00704
Cited by: 0

Abstract

A deep learning model based on retinal fundus images effectively predicts long-term adverse cardiovascular event risk in ACS patients, demonstrating robust risk stratification capability and clinical interpretability. It holds promise as a noninvasive risk assessment tool.

Fields of Study & Subjects

Retinal Imaging and Analysis Artificial Intelligence in Healthcare Retinal and Optic Conditions

Publication details

Journal / source
PubMed
Volume
54
Issue
2
Pages
172–178
Publication date
24 February 2026
Language
ZH