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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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Free CPD announced for BVNA members

News Story 1
 Zoetis is to present a CPD event for free to members of the British Veterinary Nursing Association (BVNA).

Led by veterinary consultant Ruth Moxon, the one-hour online session is designed to help veterinary nurses discuss parasiticide options with clients. It will advise on structuring recommendations, factors for product choice and moving away from 'selling'.

'How do you recommend parasite treatments to your clients?' will be presented on Tuesday, 20 May at 7.30pm. It is free for BVNA members, with £15.00 tickets for non-members.

Veterinary nurses can email cpd@bvna.co.uk to book their place. 

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News Shorts
DAERA to reduce BVD 'grace period'

DAERA has reminded herd keepers of an upcoming reduction to the 'grace period' to avoid BVD herd restrictions.

From 1 May 2025, herd keepers will have seven days to cull any BVD positive or inconclusive animals to avoid restrictions being applied to their herd.

It follows legislation introduced on 1 February, as DAERA introduces herd movement restrictions through a phased approach. Herd keepers originally had 28 days to cull BVD positive or inconclusive animals.

DAERA says that, providing herd keepers use the seven-day grace period, no herds should be restricted within the first year of these measures.

Additional measures, which will target herds with animals over 30 days old that haven't been tested for BVD, will be introduced from 1 June 2025.

More information is available on the DAERA website.