摘要
机器学习是一种可以帮助临床医师程序化处理问题的自动化便捷模式,随着大数据的广泛应用,这一技术在多个领域得到了飞速发展,尤其在心血管领域有很大的潜在价值。目前,机器学习已成功应用于心血管疾病的各个领域,提高了疾病诊疗的准确性和可重复性,为临床及影像医师提供了便捷。本文就机器学习在心脏超声领域的应用现状及发展方向进行综述。
Machine learning is an automated and convenient model that can help doctors deal with problems programmatically.With the advent of the big data era,this technology has made rapid progress in various fields,especially in the cardiovascular field.At present,machine learning has been successfully applied to various fields of cardiovascular disease,and realizing the accuracy and repeatability of disease diagnosis and treatment,providing convenience for clinical and imaging doctors.This article reviews the application and development on direction of the machine learning in the field of cardiac ultrasound.
作者
武玉多
贡鸣
谷孝艳
张宏家
何怡华
WU Yuduo;GONG Ming;GU Xiaoyan;ZHANG Hongjia;HE Yihua(Cardiac Ultrasound Medical Center,Beijing Anzhen Hospital,Capital Medical University,Beijing 100029,China)
出处
《临床超声医学杂志》
CSCD
2021年第9期692-694,共3页
Journal of Clinical Ultrasound in Medicine
基金
国家重点研发计划项目(2018YFC1002300)
北京市医院管理局“登峰”计划专项(DFL20180602)。
关键词
机器学习
心脏超声
应用发展
Machine learning
Cardiac ultrasound
Application development