机器学习为慢性冠状动脉全闭塞成功顺行交叉铺平道路。

IF 2.1 3区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Cardiovascular diagnosis and therapy Pub Date : 2024-12-31 Epub Date: 2024-12-05 DOI:10.21037/cdt-24-423
Philipp Breitbart, Dirk Westermann, Grigorios Korosoglou
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Machine learning paving the way for successful antegrade crossing of total chronic coronary occlusions.
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来源期刊
Cardiovascular diagnosis and therapy
Cardiovascular diagnosis and therapy Medicine-Cardiology and Cardiovascular Medicine
CiteScore
4.90
自引率
4.20%
发文量
45
期刊介绍: The journal ''Cardiovascular Diagnosis and Therapy'' (Print ISSN: 2223-3652; Online ISSN: 2223-3660) accepts basic and clinical science submissions related to Cardiovascular Medicine and Surgery. The mission of the journal is the rapid exchange of scientific information between clinicians and scientists worldwide. To reach this goal, the journal will focus on novel media, using a web-based, digital format in addition to traditional print-version. This includes on-line submission, review, publication, and distribution. The digital format will also allow submission of extensive supporting visual material, both images and video. The website www.thecdt.org will serve as the central hub and also allow posting of comments and on-line discussion. The web-site of the journal will be linked to a number of international web-sites (e.g. www.dxy.cn), which will significantly expand the distribution of its contents.
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