Application of intelligent phonocardiography in the detection of congenital heart disease in pediatric patients: A narrative review. (March 2022)

• Record Type: Journal Article
• Authors: Burns, Joseph; Ganigara, Madhusudan; Dhar, Arushi
• Is Part Of: Progress in pediatric cardiology. Volume 64(2022)
• Publication Date: 2022-03
• Subjects: Congenital heart disease -- Bicuspid aortic valve -- Phonocardiography -- Artificial intelligence; Pediatric cardiology -- Periodicals; Cardiovascular Diseases -- Periodicals; Infant; Child; Cardiologie pédiatrique -- Périodiques; 618.9212005
• DOI: 10.1016/j.ppedcard.2021.101455
• Languages: English
• ISSNs: 1058-9813

Abstract

Abstract: Background: Congenital heart disease (CHD) is the most common birth defect. Phonocardiography (PCG) is the graphical representation of heart sounds. Utilizing machine learning and artificial neural networks, recent models have utilized phonocardiographic signals to predict structural heart disease. Aim of review: It is the aim of this review to summarize and organize the evidence reporting the use of intelligent phonocardiography in the diagnosis of congenital heart disease. Key scientific concepts of review: Since the early twenty-first century, models have demonstrated accuracy and sensitivity in predicting whether a murmur is pathologic or innocent using PCG. More recent evidence demonstrates similar predictive efficacy in specific lesions, including aortic stenosis and regurgitation. Further research with larger populations is required to further characterize the utility of PCG and artificial intelligence to diagnose CHD in children. However, the success of this technology has important roles in education and significant implications in resource-poor areas. Further, these studies support the expanded use of artificial intelligence in pediatric cardiology and may prove useful not only in PCG but also in electrocardiography and echocardiography. Highlights: Phonocardiography alongside artificial neural networks offers tremendous potential to aid in the diagnosis of congenital heart disease. Generally, phonocardiography is effective in discerning congenital heart disease relative to normal samples. Aside from diagnostic capabilities, phonocardiography is a useful tool in education. Further research in wave acquisition, amplification, refining and analysis is required in order to improve the diagnostic accuracy of PCG.