The most advanced veterinary digital auscultation solution
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
- Detection and grading* of canine heart murmurs
- 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
As part of a large, multicentre auscultation study, veterinary cardiologists contributed heart sound recordings and echocardiographic reference data informing the training and evaluation of the algorithm. The CANINEBEAT® AI algorithm was trained and validated on over 4000 annotated heart sound samples from more than 3400 dogs.
The model is trained and validated on a fixed dataset provided by veterinary cardiologists and deployed without allowing open updates. This ensures that the algorithm outputs remain consistent, delivering repeatable canine heart murmur assessments across every patient and every visit.
*CANINEBEAT® AI analyses heart sounds and classifies murmur loudness using a modified Levine intensity scale.
