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Published in Frontiers in Veterinary Science, the model is a "hybrid causal Bayesian network" designed to enhance existing tools by analysing complex relationships between risk factors1.
It combines data from electronic health records, owner questionnaires, previous studies and veterinarian expertise.
Waltham says the model confirms the importance of risk factors including breed and size, age, head shape and quality of home dental care, and quantifies the probability of a dog having periodontal disease based on the presence of these factors.
Dr Stephen Makin, Vice President Waltham Petcare Science Institute, said: "This breakthrough is more than just a scientific achievement; it's a potential game-changer for canine oral health.
"Supported by AI, we are moving from detection to prediction, empowering veterinarians and owners with the ability to provide proactive and personalised oral care.
"This could fundamentally change the health and wellbeing of our canine companions."
The new model is now being used within the Linnaeus group to flag risk for newly-registered clients.
It has also been deployed on a risk checker at: https://www.uk.pedigree.com/gum-disease-risk-checker.
In both cases, Linnaeus says the objective is to get information to pet owners earlier, particularly for breeds where risk is substantially higher, to help drive early preventive care.
However, the company says this is only a fraction of what this kind of foundational model can do, and that it is exploring a range of further applications — including how it might work in combination with other clinical tools and diagnostics to support decision-making more directly at the point of care.
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