Jani Vivek, Danford David A, Thompson W Reid, Schuster Andreas, Manlhiot Cedric, Kutty Shelby
Department of Pediatrics, Blalock Taussig Thomas Heart Center, The Johns Hopkins Hospital and School of Medicine, M2315, 1800 Orleans St, Baltimore, MD 21287, USA.
Department of Cardiology and Pneumology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany.
Eur Heart J Digit Health. 2021 Jul 1;2(3):456-466. doi: 10.1093/ehjdh/ztab059. eCollection 2021 Sep.
Heart murmur, a thoracic auscultatory finding of cardiovascular origin, is extremely common in childhood and can appear at any age from premature newborn to late adolescence. The objective of this review is to provide a modern examination and update of cardiac murmur auscultation in this new era of artificial intelligence (AI) and telemedicine. First, we provide a comprehensive review of the causes and differential diagnosis, clinical features, evaluation, and long-term management of paediatric heart murmurs. Next, we provide a brief history of computer-assisted auscultation and murmur analysis, along with insight into the engineering design of the digital stethoscope. We conclude with a discussion of the paradigm shifting impact of deep learning on murmur analysis, AI-assisted auscultation, and the implications of these technologies on telemedicine in paediatric cardiology. It is our hope that this article provides an updated perspective on the impact of AI on cardiac auscultation for the modern paediatric cardiologist.
心脏杂音是一种起源于心血管系统的胸部听诊发现,在儿童时期极为常见,可出现在从早产新生儿到青少年晚期的任何年龄段。本综述的目的是在这个人工智能(AI)和远程医疗的新时代,对心脏杂音听诊进行现代审视和更新。首先,我们全面回顾了小儿心脏杂音的病因、鉴别诊断、临床特征、评估及长期管理。接下来,我们简要介绍计算机辅助听诊和杂音分析的历史,并深入了解数字听诊器的工程设计。最后,我们讨论深度学习对杂音分析、AI辅助听诊的范式转变影响,以及这些技术对儿科心脏病学远程医疗的意义。我们希望本文能为现代儿科心脏病专家提供关于AI对心脏听诊影响的最新观点。