An artificial intelligence model integrating culprit lesion diagnosis and risk assessment for acute coronary syndromeResearch in context

An artificial intelligence model integrating culprit lesion diagnosis and risk assessment for acute coronary syndromeResearch in context

Summary: Background: An integrated machine learning (ML) approach capable of both diagnosing acute coronary syndrome (ACS, encompassing myocardial infarction and unstable angina) and predicting future ACS risk within defined optimal timeframes remains an unmet need in cardiovascular risk stratifica...

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Main Authors: Peng Peng Xu, Bin Hu, Fan Zhou, Zhi Han Xu, Qian Chen, Tong Yuan Liu, Bang Jun Guo, Chang Sheng Zhou, Xin Wei Tao, Hong Yan Qiao, Jia Ni Zou, Xiang Ming Fang, Wen Cai Huang, Long Jiang Zhang
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:EClinicalMedicine
Subjects:
Acute coronary syndrome
Machine learning
Random forest
Computed tomography angiography
Risk stratification
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537025003475
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