Echocardiographic Phenotyping of Mitral Regurgitation for Clinical Decision Making

被引：1
|
作者：
Kusunose, Kenya [1 ,2 ]
机构：
[1] Tokushima Univ Hosp, Dept Cardiovasc Med, Tokushima, Japan
[2] Tokushima Univ Hosp, Dept Cardiovasc Med, 2-50-1 Kuramoto, Tokushima, Japan
来源：
JACC-CARDIOVASCULAR IMAGING | 2023年 / 16卷 / 10期
关键词：
artificial intelligence; decision making; machine learning; guideline; mitral regurgitation; FLAIL LEAFLETS; DYSFUNCTION;
D O I：
10.1016/j.jcmg.2023.03.003
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页码：1268 / 1270
页数：3
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