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Scientists use AI to detect and grade canine heart murmurs
Smaller breeds such as King Charles spaniels at more at risk of mitral valve disease.
Researchers hope technology could help spot early signs of disease.

Scientists have used machine learning to develop an algorithm that can accurately detect and grade heart murmurs in dogs.

Tests showed that the algorithm had a sensitivity of around 90 per cent, which is a similar level of accuracy as an expert cardiologist.

An estimated one in 30 dogs seen by a veterinary surgeon has a heart murmur, which is a key sign of mitral valve disease. The technology could aid early detection.

The team, led by researchers from the University of Cambridge, adapted an algorithm that had originally been designed for humans using a database of heart sounds from around 1,000 human patients.

Anurag Agarwal, professor of acoustics and biomedical technology at the University of Cambridge, explained: “As far as we're aware, there are no existing databases of heart sounds in dogs, which is why we started out with a database of heart sounds in humans.

“Mammalian hearts are fairly similar, and when things go wrong, they tend to go wrong in similar ways.”

To train the technology to work on dogs, the researchers gathered data from almost 800 dogs that had undergone routine heart examinations at four specialist centres in the UK. Although smaller breeds, such as King Charles spaniels, are most at risk of mitral valve disease, the data set included a wide range of dogs to improve the quality of the algorithm.

Each dog underwent a full physical examination and an echocardiogram. Heart sounds were recorded using an electronic stethoscope.

Using this data, the researchers fine-tuned the algorithm so that it could detect and grade heart murmurs and tell the difference between murmurs linked to mild disease and those which indicated advanced disease needing further treatment.

Jose Novo Matos, principal clinical cardiologist at the University of Cambridge’s Department of Veterinary Medicine, said: “So many people talk about AI as a threat to jobs, but for me, I see it as a tool that will make me a better cardiologist.

“We can't perform heart scans on every dog in this country – we just don't have enough time or specialists to screen every dog with a murmur. But tools like these could help vets and owners, so we can quickly identify those dogs who are most in need of treatment.”

The study has been published in the Journal of Veterinary Internal Medicine.

Image © Shutterstock

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BSAVA partners with BVA Live 2026

News Story 1
 BSAVA is to partner with BVA Live (11-12 June 2026) to champion clinical research.

The organisation will be supporting BVA Live's Clinical Abstracts programme, showcasing selected abstracts of veterinary research throughout the event.

The clinical abstracts can be on any small animal veterinary subject, and must be based on research undertaken in industry, practice or academia. Abstracts can be presented in poster or oral formats.

Submissions will open on 15th December 2025, and close on 6th March 2026. You can register interest here

Click here for more...
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Nominations open for RCVS and VN Council elections

The nomination period for the 2026 RCVS Council and VN Council elections is now open, with three veterinary surgeon seats and two veterinary nurse seats available.

Prospective candidates can download an information pack and nomination form from the RCVS website. Individuals can nominate themselves for the elections, with the results to be announced in the spring.

Clare Paget, the recently appointed RCVS Registrar and elections returning officer, said: "If you want to play your part in influencing and moulding how the professions are regulated, and making key decisions on matters of great importance to your peers, the public and animal health and welfare, please consider standing for RCVS Council or VN Council next year."

Nominations close at 5pm on Saturday, 31 January 2026.