The algorithm was developed by Boehringer Ingelheim and Eko Health. It has been trained and validated with input from renowned 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.

Trained on thousands of expert-annotated heart sounds, CANINEBEAT® AI provides expert‑validated, AI‑supported assistance in everyday practice, helping clinicians detect and grade murmurs with greater confidence.

The specificity and sensitivity of CANINEBEAT® AI for detecting a murmur (yes vs no) related to structural heart disease is over 95%.

The CANINEBEAT^® AI algorithm is ‘static’, which means it is trained on a fixed dataset provided by cardiologists and deployed without allowing open updates, so that the algorithm remains unchanged over time and delivers consistent and repeatable murmur assessments across every patient and every visit.

No. CANINEBEAT^® AI does not replace diagnostic imaging. It is a supportive tool designed to aid veterinarians in the detection and grading of possible heart murmurs as part of the clinical examination. Decisions on further diagnostic steps, including whether and when to use imaging, remain entirely based on the veterinarian’s clinical judgement, the individual patient, and the overall clinical context.

CANINEBEAT® AI will be part of a solution coming soon that every veterinarian can use in clinic every day, to improve detection and communication of heart murmurs.

It is not currently on sale. It will be sold from the end of April onwards in specific regions of the world as part of an easy-to-use digital auscultation solution for every veterinarian.

Please ask your Boehringer Ingelheim representative for more information.