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

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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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
Series:BMC Veterinary Research
Subjects:
Deep learning
Mitral regurgitation
Canine
Myxomatous mitral valve disease
Digital stethoscope
Phonocardiogram
Online Access:https://doi.org/10.1186/s12917-025-04802-z
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https://doi.org/10.1186/s12917-025-04802-z

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