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.
机构:
Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Waytous Ltd, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R ChinaChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Chen, Long
Xie, Yuting
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Sun Yat Sen Univ, Sch Comp Sci & Engn, Guangzhou 510275, Guangdong, Peoples R ChinaChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Xie, Yuting
Wang, Yutong
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Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R ChinaChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Wang, Yutong
Ge, Shirong
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China Univ Min & Technol Beijing, Sch Mech Elect & Informat Engn, Beijing 100083, Peoples R ChinaChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Ge, Shirong
Wang, Fei-Yue
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Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R ChinaChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
机构:
IEEE
the State Key Laboratory for Management and Control of Complex Systems at the Institute of Automation,Chinese Academy of Sciences
the National Laboratory of Pattern Recognition at the Institute of Automation,and Waytous Ltd.ChinaIEEE
Long Chen
Yuting Xie
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the School of Computer Science and Engineering, Sun Yat-Sen UniversityIEEE
Yuting Xie
Yutong Wang
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the State Key Laboratory for Management and Control of Complex Systems at the Institute of Automation,Chinese Academy of SciencesIEEE
Yutong Wang
Shirong Ge
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the School of Mechanical Electronic and Information Engineering,China University of Mining and Technology BeijingIEEE
Shirong Ge
Fei-Yue Wang
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IEEE
the School of Artificial Intelligence,University of Chinese Academy of SciencesIEEE
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St Elizabeth Healthcare Canc Ctr, Dept Hematol Oncol, Edgewood, KY 41017 USASt Elizabeth Healthcare Canc Ctr, Dept Hematol Oncol, Edgewood, KY 41017 USA
Kurian, Matthew
Adashek, Jacob J.
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Johns Hopkins Univ Hosp, Sidney Kimmel Comprehens Canc Ctr, Dept Oncol, Baltimore, MD USASt Elizabeth Healthcare Canc Ctr, Dept Hematol Oncol, Edgewood, KY 41017 USA
Adashek, Jacob J.
West, Howard
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Summit Therapeut, Menlo Pk, CA USASt Elizabeth Healthcare Canc Ctr, Dept Hematol Oncol, Edgewood, KY 41017 USA