Machine learning in echocardiography-based prediction model of cardiovascular diseases  

作　　者：Zubaire Yasheng Ruohan Zhao Ye Zhu Zisang Zhang Qing Lv Mingxing Xie Li Zhang 

机构地区：[1]Department of Ultrasound Medicine,Union Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,Hubei 430022,China [2]Clinical Research Center for Medical Imaging in Hubei Province,Wuhan,Hubei 430022,China [3]Hubei Province Key Laboratory of Molecular Imaging,Wuhan,Hubei 430022,China

出　　处：《Chinese Medical Journal》2025年第2期228-230,共3页中华医学杂志(英文版)

基　　金：supported by grants from the National Key R&D Program of China(No.2022YFF0706504);the National Natural Science Foundation of China(Nos.82171964,82151316,82230066,82371991,82302226,and 82302229).

摘　　要：To the Editor:Echocardiography is a valuable tool for diagnosing and predicting cardiovascular disease;however,it has certain limitations,such as being operator-dependent and having a complex multidimensional nature that can make interpretation challenging.Artificial intelligence(AI)is adept at analyzing and processing large,complex,and multidimensional data.It can automatically analyze and integrate information from multiple sources to build prediction models.This can increase the efficiency of echocardiography in healthcare,enabling improved detection,diagnosis,and management of cardiac disease.This study highlights the clinical application of machine learning(ML)combined with echocardiography in the development of cardiovascular prediction models,offering insights into improved patient care.

关 键 词：operator dependency data analysis machine learning cardiovascular diseases artificial intelligence prediction models analyze integrate information ECHOCARDIOGRAPHY 

分 类 号：R54[医药卫生—心血管疾病]