A machine learning model using echocardiographic myocardial strain to detect myocardial ischemia

Coronary functional assessment plays a critical role in guiding decisions regarding coronary revascularization. Traditional methods for evaluating functional myocardial ischemia, such as invasive procedures or those involving radiation, have their limitations. Echocardiographic myocardial strain has...

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Bibliographic Details
Published in:	Internal and emergency medicine Vol. 20; no. 5; pp. 1425 - 1436
Main Authors:	Zheng, Bo, Liu, Yaokun, Zhang, Jingyi, Ma, Terry T., Zhou, Yun, Chen, Yongkai, Yang, Ying, Ma, Wei, Fan, Fangfang, Jia, Jia, Zhang, Yan, Li, Jianping, Zhong, Wenxuan
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.08.2025 Springer Nature B.V
Subjects:	Aged Angiography Annotations Approximation Artificial intelligence Automation Cardiovascular disease Coronary artery disease Coronary vessels Echocardiography - methods Ejection fraction Female Heart Heart diseases Humans Hypertension Im - Original Internal Medicine Ischemia Learning algorithms Machine Learning Male Medical imaging Medicine Medicine & Public Health Middle Aged Myocardial ischemia Myocardial Ischemia - diagnosis Myocardial Ischemia - diagnostic imaging Myocardial Ischemia - physiopathology Pilot Projects Pulmonary arteries Quality standards ROC Curve Ultrasonic imaging Myocardial ischemia Ensemble learning Echocardiographic myocardial strain Coronary angiography-derived fractional flow reserve Machine learning
ISSN:	1828-0447, 1970-9366, 1970-9366
Online Access:	Get full text
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