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

Crossref DOI link: https://doi.org/10.1186/s12917-025-04802-z

Published Online: 2025-05-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lee, Soh-Yeon

Lee, Sully

Kim, Se-Hoon

Chang, HyeSun

Cho, Won-Yang

Ryu, Min-Ok

Choi, Jihye

Yoon, Hwa-Young

Seo, Kyoung-Won
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Text and Data Mining valid from 2025-05-08

Version of Record valid from 2025-05-08
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Article History

Received: 4 October 2024

Accepted: 2 May 2025

First Online: 8 May 2025

Declarations

:

: This study has received approval from the Institutional Animal Care and Use Committee of Seoul National University (SNU-220602–1-2) and was conducted in strict accordance with the Korean Animal Protection Act and the regulatory guidelines of Seoul National University. Informed consent was obtained from all the dog owners.

: Not applicable.

: The authors declare no competing interests.

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