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Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning.

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第一作者: Athanasios,Rempakos
第一单位: Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
作者单位: Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA. [1] The Promed Hospital, Chennai, India. [2] London Health Sciences Centre, Western University, London, Ontario, Canada. [3] Texas Health Presbyterian Hospital, Dallas, Texas, USA. [4] University Hospitals, Case Western Reserve University, Cleveland, Ohio, USA. [5] Cleveland Clinic, Cleveland, Ohio, USA. [6] WellSpan York Hospital, York, Pennsylvania, USA. [7] Biruni University Medical School, Istanbul, Turkey. [8] Massachusetts General Hospital, Boston, Massachusetts, USA. [9] Oklahoma Heart Institute, Tulsa, Oklahoma, USA. [10] Emory University Hospital Midtown, Atlanta, Georgia, USA. [11] Division of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, USA. [12] Henry Ford Cardiovascular Division, Detroit, Michigan, USA. [13] Meshalkin Novosibirsk Research Institute, Novosibirsk, Russia. [14] North Oaks Health System, Hammond, Louisiana, USA. [15] Aswan Heart Center, Magdi Yacoub Foundation, Cairo, Egypt. [16] Memorial Bahcelievler Hospital, Istanbul, Turkey. [17] Selcuk University, Konya, Turkey. [18] Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA. Electronic address: esbrilakis@gmail.com. [19]
DOI 10.1016/j.jcin.2024.04.043
PMID 38970585
发布时间 2025-03-21
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JACC. Cardiovascular interventions

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