The discerning ear: cardiac auscultation in the era of artificial intelligence and telemedicine. Issue 3 (1st July 2021)

• Record Type: Journal Article
• Authors: Jani, Vivek; Danford, David A; Thompson, W Reid; Schuster, Andreas; Manlhiot, Cedric; Kutty, Shelby
• Is Part Of: European heart journal. Volume 2:Issue 3(2021)
• Page Start: 456
• Page End: 466
• Publication Date: 2021-07-01
• Subjects: Auscultation -- Artificial intelligence -- Congenital heart disease -- Paediatric murmurs; Medical informatics -- Periodicals; Medical technology -- Periodicals; Cardiovascular system -- Periodicals; 616.100284
• DOI: 10.1093/ehjdh/ztab059
• Languages: English
• ISSNs: 2634-3916

Abstract

Abstract: 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.