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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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Webinar to explore AMR in vet dentistry

News Story 1
 The WSAVA has invited veterinary professionals to a webinar on responsible antibiotic usage in dentistry.

On 19 November 2025, at 1am, Dr J Scott Weese and Dr Brooke Niemiec will share the latest advice for antimicrobial use. They will present research on oral bacterology, and explain how attendees can choose appropriate antibiotics.

The session will cover pre-, intra- and post-operative guidelines, with recommendations for various pathologies.

The webinar is designed to support veterinary professionals to make informed decisions and tackle antimicrobial resistance.

Attendees can register here

Click here for more...
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Endorsed by leading veterinary organisations, including the BEVA, BVNA and RCVS Knowledge, the checklist is designed to reduce the environmental footprint of veterinary care, while supporting better animal health outcomes.

The checklist was launched at the World Congress of Veterinary Anaesthesia and Analgesia in Paris and will be followed by an internal training and awareness campaign. For more information, visit dechra.com