| Literature DB >> 32567669 |
Qiang Long1, Xiaofeng Ye2, Qiang Zhao2.
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.Entities:
Keywords: artificial intelligence; machine learning; medical image analysis; transcathether aortic valve implantation; valvular heart diseases
Year: 2020 PMID: 32567669 PMCID: PMC8016001 DOI: 10.5603/CJ.a2020.0087
Source DB: PubMed Journal: Cardiol J ISSN: 1898-018X Impact factor: 2.737