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Percutaneous coronary interventional strategies for treatment of in-stent restenosis: a network meta-analysis Orbital atherectomy for the treatment of small (2.5mm) severely calcified coronary lesions: ORBIT II sub-analysis Randomized study on simple versus complex stenting of coronary artery bifurcation lesions: the Nordic bifurcation study Optical Coherence Tomography Predictors for Recurrent Restenosis After Paclitaxel-Coated Balloon Angioplasty for Drug-Eluting Stent Restenosis The European bifurcation club Left Main Coronary Stent study: a randomized comparison of stepwise provisional vs. systematic dual stenting strategies (EBC MAIN) Effect of orbital atherectomy in calcified coronary artery lesions as assessed by optical coherence tomography Comparison of the safety and efficacy of two types of drug-eluting balloons (RESTORE DEB and SeQuent® Please) in the treatment of coronary in-stent restenosis: study protocol for a randomized controlled trial (RESTORE ISR China) Healed coronary plaque rupture as a cause of rapid lesion progression: a case demonstrated with in vivo histopathology by directional coronary atherectomy In-Hospital Outcomes of Chronic Total Occlusion Percutaneous Coronary Interventions in Patients With Prior Coronary Artery Bypass Graft Surgery Multicentre, randomized comparison of two-stent and provisional stenting techniques in patients with complex coronary bifurcation lesions: the DEFINITION II trial
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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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