Deep learning-based evaluation of the severity of mitral regurgitation in canine myxomatous mitral valve disease patients using digital stethoscope recordings

Abstract Background Myxomatous mitral valve disease (MMVD) represents the most prevalent cardiac disorder in dogs, frequently resulting in mitral regurgitation (MR) and congestive heart failure. Although echocardiography is the gold standard for diagnosis, it is an expensive tool that involves signi...

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Bibliographic Details

Published in:	BMC Veterinary Research
Main Authors:	Soh-Yeon Lee, Sully Lee, Se-Hoon Kim, HyeSun Chang, Won-Yang Cho, Min-Ok Ryu, Jihye Choi, Hwa-Young Yoon, Kyoung-Won Seo
Format:	Article
Language:	English
Published:	BMC 2025-05-01
Subjects:	Deep learning Mitral regurgitation Canine Myxomatous mitral valve disease Digital stethoscope Phonocardiogram
Online Access:	https://doi.org/10.1186/s12917-025-04802-z