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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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FIVP launches CMA remedies survey

News Story 1
 FIVP has shared a survey, inviting those working in independent practice to share their views on the CMA's proposed remedies.

The Impact Assessment will help inform the group's response to the CMA, as it prepares to submit further evidence to the Inquiry Group. FIVP will also be attending a hearing in November.

Data will be anonymised and used solely for FIVP's response to the CMA. The survey will close on Friday, 31 October 2025. 

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News Shorts
CMA to host webinar exploring provisional decisions

The Competition and Markets Authority (CMA) is to host a webinar for veterinary professionals to explain the details of its provisional decisions, released on 15 October 2025.

The webinar will take place on Wednesday, 29 October 2025 from 1.00pm to 2.00pm.

Officials will discuss the changes which those in practice may need to make if the provisional remedies go ahead. They will also share what happens next with the investigation.

The CMA will be answering questions from the main parties of the investigation, as well as other questions submitted ahead of the webinar.

Attendees can register here before Wednesday, 29 October at 11am. Questions must be submitted before 10am on 27 October.

A recording of the webinar will be accessible after the event.