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Right ventricular expression of NT-proBNP adds predictive value to REVEAL score in patients with pulmonary arterial hypertension One-Year Outcomes of Orbital Atherectomy of Long, Diffusely Calcified Coronary Artery Lesions In vivo comparison of lipid-rich plaque on near-infrared spectroscopy with histopathological analysis of coronary atherectomy specimens Coronary Calcification and Long-Term Outcomes According to Drug-Eluting Stent Generation Clinical Characteristics and Long-Term Outcomes of Rotational Atherectomy-J2T Multicenter Registry Orbital atherectomy for the treatment of small (2.5mm) severely calcified coronary lesions: ORBIT II sub-analysis Trends in Usage and Clinical Outcomes of Coronary Atherectomy: A Report From the National Cardiovascular Data Registry CathPCI Registry North American Expert Review of Rotational Atherectomy Procedural Success and Outcomes With Increasing Use of Enabling Strategies for Chronic Total Occlusion Intervention Incidence and Standardized Definitions of Mitral Valve Leaflet Adverse Events After Transcatheter Mitral Valve Repair: the EXPAND Study
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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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