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'Ticagrelor alone vs. dual antiplatelet therapy from 1 month after drug-eluting coronary stenting among patients with STEMI': a post hoc analysis of the randomized GLOBAL LEADERS trial Plaque Rupture, compared to Plaque Erosion, is associated with Higher Level of Pan-coronary Inflammation Comparison of 1-month Versus 12-month Dual Antiplatelet Therapy after Implantation of Drug-eluting Stents Guided by either Intravascular Ultrasound or Angiography in Patients with Acute Coronary Syndrome: Rationale and Design of Prospective, Multicenter, Randomized, Controlled IVUS-ACS & ULTIMATE-DAPT trial Pulmonary Artery Denervation Attenuates Pulmonary Arterial Remodeling in Dogs With Pulmonary Arterial Hypertension Induced by Dehydrogenized Monocrotaline SR-B1 Drives Endothelial Cell LDL Transcytosis via DOCK4 to Promote Atherosclerosis Drug-coated balloon for treatment of de-novo coronary artery lesions in patients with high bleeding risk (DEBUT): a single-blind, randomised, non-inferiority trial Acute Aortic Syndrome Revisited: JACC State-of-the-Art Review Left Main Percutaneous Coronary Intervention Versus Coronary Artery Bypass Grafting in Patients With Prior Cerebrovascular Disease: Results From the EXCEL Trial Frailty in Older Adults Undergoing Aortic Valve Replacement: The FRAILTY-AVR Study Use of Risk Assessment Tools to Guide Decision-Making in the Primary Prevention of Atherosclerotic Cardiovascular Disease : A Special Report From the American Heart Association and American College of Cardiology
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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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