Artificial intelligence-driven techniques for interventional cardiology: A current appraisal.

Abstract

The ability to simulate the process of human intelligence with computer systems is known as artificial intelligence (AI). This review aims to elucidate the impact of AI on clinical practice in interventional cardiology (IC) with particular attention to its most recent developments. In recent years, there have been exceptional breakthroughs in computational tools, particularly in the development of AI. The main objectives are to achieve the integration of various cardiac imaging modalities, establish online decision support systems and platforms based on augmented and/or virtual realities, and finally to create automatic medical systems, facilitating access to electronic health data about patients. In summary, AI applications in IC can be categorized into two primary domains: virtual and physical. As a result, numerous studies have offered information on the use of AI for automated interpretation and analysis of data from different cardiac modalities, including electrocardiogram, echocardiography, angiography, cardiac magnetic resonance imaging, and computed tomography as well as data collected during robotic-assisted percutaneous coronary intervention (PCI) procedures.