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Management of Patients With NSTE-ACS: A Comparison of the Recent AHA/ACC and ESC Guidelines Percutaneous Support Devices for Percutaneous Coronary Intervention 稳定性冠心病诊断与治疗指南 Coronary flow velocity reserve predicts adverse prognosis in women with angina and noobstructive coronary artery disease: resultsfrom the iPOWER study Left Ventricular Assist Devices for Lifelong Support 2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines Cardiovascular Biomarkers and Imaging in Older Adults: JACC Council Perspectives Guiding Principles for Chronic Total Occlusion Percutaneous Coronary Intervention Statin Safety and Associated Adverse Events: A Scientific Statement From the American Heart Association Non-cardiac surgery in patients with coronary artery disease: risk evaluation and periprocedural management
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Review ArticleVolume 12, Issue 14, July 2019

JOURNAL：JACC Cardiovasc Interv. Article Link

Impact of Artificial Intelligence on Interventional Cardiology: From Decision-Making Aid to Advanced Interventional Procedure Assistance

P Sardar, JD Abbott, A Kundu et al. Keywords: artificial intelligence; interventional cardiology

ABSTRACT

Access to big data analyzed by supercomputers using advanced mathematical algorithms (i.e., deep machine learning) has allowed for enhancement of cognitive output (i.e., visual imaging interpretation) to previously unseen levels and promises to fundamentally change the practice of medicine. This field, known as “artificial intelligence” (AI), is making significant progress in areas such as automated clinical decision making, medical imaging analysis, and interventional procedures, and has the potential to dramatically influence the practice of interventional cardiology. The unique nature of interventional cardiology makes it an ideal target for the development of AI-based technologies designed to improve real-time clinical decision making, streamline workflow in the catheterization laboratory, and standardize catheter-based procedures through advanced robotics. This review provides an introduction to AI by highlighting its scope, potential applications, and limitations in interventional cardiology.

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