CANINEBEAT® AI: Expert validated murmur detection
What it does
CANINEBEAT® AI
- Has over 95% sensitivity and specificity for detection of heart murmurs related to structural heart disease
- Grades murmurs
- Can detect additional auscultatory abnormalities
- Delivers consistent, repeatable assessments, providing veterinarians with an expert-validated support they can trust.
Who developed it
CANINEBEAT® AI was developed by Boehringer Ingelheim and Eko Health, in collaboration with renowned cardiology experts including Prof. Gerhard Wess, Prof. Jens Häggström, and Assoc. Prof. Ingrid Ljungvall. Valuable contributions were also received from Profs. Gordon and Scansen for expert sound annotation and consultancy. In total, almost 50 veterinary cardiologists across the EU and USA were involved, ensuring scientific rigor and clinical relevance.
How it was created
The CANINEBEAT® AI algorithm was trained and validated using over 4500 annotated heart sound recordings from more than 3500 dogs, making it the most extensive digital auscultation study in veterinary medicine to date. The algorithm is a static model, trained on a fixed dataset and deployed without allowing open updates, ensuring it remains unchanged.
