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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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Equine Disease Surveillance report released for Q4 2025

News Story 1
 The latest Equine Disease Surveillance report has been released, with details on equine disease from Q4 of 2025.

The report, produced by Equine Infectious Disease Surveillance, includes advice on rule changes for equine influenza vaccination.

Statistics and maps detail recent outbreaks of equine herpes virus, equine influenza, equine strangles and equine grass sickness. A series of laboratory reports provides data on virology, bacteriology, parasitology and toxicosis.

This issue also features a case study of orthoflavivus-associated neurological disease in a horse in the UK. 

Click here for more...
News Shorts
NSA webinar explores sheep tailing and castration

The National Sheep Association (NSA) is to host a free webinar on the castration and tail docking of lambs.

The webinar, 'Understanding the tailing and castration consultation: A guide for sheep farmers', will be hosted online on Monday, 2 March 2026 at 7.30pm.

It comes during a government consultation into the methods used for these procedures. Farmers are encouraged to engage before the consultation period closes on Monday, 9 March 2026.

The webinar offers clear and actionable guidance to support farmers to contribute meaningfully to the consultation and prepare for potential changes.

On the panel will be former SVS president Kate Hovers, farmer and vet Ann Van Eetvelt and SRUC professor in Animal Health and Veterinary Sciences Cathy Dwyer. Each panel member will utilise their own specialism and expertise to evaluate risks and outcomes to sheep farming.

Find out more about the webinar on the NSA website.