Bridging the Gap Between Artificial Intelligence Research and Clinical Practice in Cardiovascular Science: What the Clinician Needs to Know

被引：1
|
作者：
Shipley, Emily [1 ,2 ,3 ]
Joddrell, Martha [1 ,2 ,3 ]
Lip, Gregory Y. H. [1 ,2 ,3 ]
Zheng, Yalin [1 ,2 ,4 ]
机构：
[1] Univ Liverpool, Liverpool Ctr Cardiovasc Sci, Liverpool, Merseyside, England
[2] Liverpool Heart & Chest Hosp, Liverpool, Merseyside, England
[3] Univ Liverpool, Dept Cardiovasc & Metab Med, William Henry Duncan Bldg,6 West Derby St, Liverpool L7 8TX, Merseyside, England
[4] Univ Liverpool, Dept Eye & Vis Sci, Liverpool, Merseyside, England
来源：
ARRHYTHMIA & ELECTROPHYSIOLOGY REVIEW | 2022年 / 11卷
关键词：
Artificial intelligence; machine learning; cardiovascular; arrhythmia; AF; ECG; risk prediction;
D O I：
10.15420/aer.2022.07
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
[No abstract available]
引用
收藏
页数：3
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