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Anatomical Attributes of Clinically Relevant Diagonal Branches in Patients with Left Anterior Descending Coronary Artery Bifurcation Lesions The Impact of Coronary Physiology on Contemporary Clinical Decision Making Echocardiographic Screening for Pulmonary Hypertension in Congenital Heart Disease Noninvasive Screening for Pulmonary Hypertension by Exercise Testing in Congenital Heart Disease Spontaneous Coronary Artery Dissection: Pathophysiological Insights From Optical Coherence Tomography Three-Year Outcomes of the DKCRUSH-V Trial Comparing DK Crush With Provisional Stenting for Left Main Bifurcation Lesions Double-Kissing Culotte Technique for Coronary Bifurcation Stenting - Technical evaluation and comparison with conventional double stenting techniques Prognostic Implications of Plaque Characteristics and Stenosis Severity in Patients With Coronary Artery Disease Clinical use of intracoronary imaging. Part 1: guidance and optimization of coronary interventions. An expert consensus document of the European Association of Percutaneous Cardiovascular Interventions: Endorsed by the Chinese Society of Cardiology Physiological Stratification of Patients With Angina Due to Coronary Microvascular Dysfunction
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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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