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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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Animal Medicines Amnesty returns this November

News Story 1
 Veterinary practices are being urged to help owners safely dispose of any unused and expired pet medicines - not just antibiotics - during November's Animal Medicines Amnesty.

Organised by the Responsible Use of Medicines Alliance Companion Animal and Equine (RUMA CA&E), the initative is supported by a range of cross-sector organisations.

Practices are encouraged to use the campaign to engage the whole practice team and raise awareness of the safe disposal of medicines with clients. Learn how your practice can get involved at rumacae.org.uk 

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APHA launches free virtual work experience programme

The Animal and Plant Health Agency (APHA), in collaboration with Springpod, has launched a free virtual work experience programme, giving young people across the UK the chance to explore careers dedicated to protecting animal and plant health.

The on-demand programme offers a unique insight into career opportunities within APHA, showcasing how students can contribute to tackling some of the UK's most critical biosecurity and environmental challenges.

Designed for students aged 13 and over, the course includes more than 10 hours of engaging content featuring real-life industry insights, scenario-based challenges, and practical guidance on applying for jobs. To register for the course, visit the APHA website.