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Vol 27, No 4 (2020)
Review articles — Clinical cardiology
Published online: 2020-06-17

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Artificial intelligence and automation in valvular heart diseases

Qiang Long1, Xiaofeng Ye1, Qiang Zhao1
DOI: 10.5603/CJ.a2020.0087
Pubmed: 32567669
Cardiol J 2020;27(4):404-420.

Abstract

Artificial intelligence (AI) is gradually changing every aspect of social life, and healthcare is no exception. The clinical procedures that were supposed to, and could previously only be handled by human experts can now be carried out by machines in a more accurate and efficient way. The coming era of big data and the advent of supercomputers provides great opportunities to the development of AI technology for the enhancement of diagnosis and clinical decision-making. This review provides an introduction to AI and highlights its applications in the clinical flow of diagnosing and treating valvular heart diseases (VHDs). More specifically, this review first introduces some key concepts and subareas in AI. Secondly, it discusses the application of AI in heart sound auscultation and medical image analysis for assistance in diagnosing VHDs. Thirdly, it introduces using AI algorithms to identify risk factors and predict mortality of cardiac surgery. This review also describes the state-of-the-art autonomous surgical robots and their roles in cardiac surgery and intervention.

Keywords: artificial intelligencemachine learningvalvular heart diseasesmedical image analysistranscathether aortic valve implantation

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