The application of artificial intelligence in nuclear cardiology

被引：10
|
作者：
Otaki, Yuka [1 ,2 ]
Miller, Robert J. H. [2 ,3 ]
Slomka, Piotr J. [2 ]
机构：
[1] Sakakibara Heart Inst, Dept Radiol, 3-6-1 Asahicho, Fuchu, Tokyo, Japan
[2] Cedars Sinai Med Ctr, Div Nucl Med, Dept Imaging & Med, Los Angeles, CA 90048 USA
[3] Univ Calgary, Dept Cardiac Sci, Calgary, AB, Canada
来源：
ANNALS OF NUCLEAR MEDICINE | 2022年 / 36卷 / 02期
关键词：
Artificial intelligence; Machine learning; Deep learning; Nuclear cardiology; SPECT; MYOCARDIAL-PERFUSION SPECT; INCREMENTAL PROGNOSTIC VALUE; TRANSIENT ISCHEMIC DILATION; CORONARY-ARTERY-DISEASE; PREDICTION; RISK; REVASCULARIZATION;
D O I：
10.1007/s12149-021-01708-2
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated a lot of interest in medical imaging research including nuclear cardiology. AI has a potential to reduce cost, save time and improve image acquisition, interpretation, and decision-making. This review summarizes recent researches and potential applications of AI in nuclear cardiology and discusses the pitfall of AI.
引用
收藏
页码：111 / 122
页数：12
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