A machine-learning algorithm to grade heart murmurs and stage preclinical myxomatous mitral valve disease in dogs.

Journal: Journal of veterinary internal medicine

PMID: 39431513

Abstract

BACKGROUND: The presence and intensity of heart murmurs are sensitive indicators of several cardiac diseases in dogs, particularly myxomatous mitral valve disease (MMVD), but accurate interpretation requires substantial clinical expertise.

Authors

Andrew McDonald

Department of Engineering, University of Cambridge, Cambridge, United Kingdom.
Jose Novo Matos

Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Joel Silva

Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Catheryn Partington

Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Eve J Y Lo

Royal Veterinary College, Hertfordshire, United Kingdom.
Virginia Luis Fuentes

Royal Veterinary College, Hertfordshire, United Kingdom.
Lara Barron

Davies Veterinary Specialists, Hitchin, United Kingdom.
Penny Watson

Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Anurag Agarwal

Keywords

Algorithms Animals Dog Diseases Dogs Echocardiography Female Heart Murmurs Heart Valve Diseases Machine Learning Male Mitral Valve Insufficiency Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (39431513)

A machine-learning algorithm to grade heart murmurs and stage preclinical myxomatous mitral valve disease in dogs.

Abstract

Authors

Keywords

External Resources

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