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Impact of Percutaneous Coronary Intervention for Chronic Total Occlusion in Non-Infarct-Related Arteries in Patients With Acute Myocardial Infarction (from the COREA-AMI Registry) Recommendations for Institutions Transitioning to High-Sensitivity Troponin Testing JACC Scientific Expert Panel A randomised trial comparing two stent sizing strategies in coronary bifurcation treatment with bioresorbable vascular scaffolds - The Absorb Bifurcation Coronary (ABC) trial Clinical Practice Guideline for Screening and Management of High Blood Pressure in Children and Adolescents Prevalence of Coronary Vasospasm Using Coronary Reactivity Testing in Patients With Spontaneous Coronary Artery Dissection Optimal Timing of Intervention in NSTE-ACS Without Pre-Treatment The EARLY Randomized Trial Intracoronary Optical Coherence Tomography-Derived Virtual Fractional Flow Reserve for the Assessment of Coronary Artery Disease The year in cardiovascular medicine 2020: interventional cardiology Prognostic Value of the Residual SYNTAX Score After Functionally Complete Revascularization in ACS Colchicine Inhibits Neutrophil Extracellular Trap Formation in Patients With Acute Coronary Syndrome After Percutaneous Coronary Intervention
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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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