Artificial Intelligence–Based Detection of Tent-Like Signs in Intracardiac Echocardiography to Assist Transseptal Puncture

IF 5.4 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Journal of the American Society of Echocardiography Pub Date : 2025-03-01 DOI:10.1016/j.echo.2024.11.010
Ruoxi Zhang MD, Ganjun Zhang MCS, Longjun Li MCS, Simeng Liu MASc, Jihong Zhang ME, Ligang He MCS
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基于人工智能的心内超声心动图中帐篷样征象的检测以辅助经间隔穿刺。
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来源期刊
CiteScore
9.50
自引率
12.30%
发文量
257
审稿时长
66 days
期刊介绍: The Journal of the American Society of Echocardiography(JASE) brings physicians and sonographers peer-reviewed original investigations and state-of-the-art review articles that cover conventional clinical applications of cardiovascular ultrasound, as well as newer techniques with emerging clinical applications. These include three-dimensional echocardiography, strain and strain rate methods for evaluating cardiac mechanics and interventional applications.
期刊最新文献
Echocardiographic Machine Learning Model to Predict Outcomes in Intensive Cardiac Care Unit. Reply to "The Doppler Angle Effect Needs to be Considered Wherever in the Heart the Proximal Isovelocity Surface Area (PISA) Method is Utilized". Reply to Right Ventricular Contractility is Dynamic. Right Ventricular Contractility is Dynamic. The Doppler Angle Effect Needs to be Considered Wherever in the Heart the Proximal Isovelocity Surface Area (PISA) Method is Utilized.
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