摘要: |
机器学习是一种可以帮助医生程序化处理问题的自动化便捷模式,近年来随着大数据时代的到来,这一技术在各个领域得到了飞速的进展,尤其是在心血管领域有很大的潜在价值。目前已成功将机器学习应用于心血管疾病的各个领域中,为临床及影像科医生提供了便捷,实现了疾病诊疗的准确性及可重复性,本文就详细阐述了机器学习在心脏超声领域的应用及发展,同时讨论了发展方向。 |
关键词: 机器学习 心脏超声 应用 |
DOI: |
投稿时间:2020-09-14修订日期:2020-10-10 |
基金项目:北京市医院管理局“登峰”计划专项经费资助(DFL20180602);国家重点研发计划”项目(2018YFC1002300) |
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Application of machine learning in cardiac ultrasound |
Wu Yuduo,Gong Ming,Gu Xiaoyan,He Yihua,Zhang Hongjia |
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Abstract: |
Machine learning is a 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, which has great potential value. At present, machine learning has been successfully applied to various fields of cardiovascular disease, providing convenience for clinical and imaging doctors, and realizing the accuracy and repeatability of disease diagnosis and treatment. This article elaborates the application and development on the machine learning in the field of cardiac ultrasound. while discussing the development direction. |
Key words: machine learning echocardiography application. |