Transforming everyday practice
Introducing Eko Vet+™ | CANINEBEAT® AI – designed to enhance murmur detection and grading*, improve owner communication and support earlier, data-based action. The three-part solution that works with your current stethoscope and clinical routine adding expert-validated AI support in every auscultation.
Developed through a collaboration between Boehringer Ingelheim, Eko Health and a network of veterinary cardiologists, Eko Vet+™ | CANINEBEAT® AI provides an end-to-end solution for confident murmur detection and improved communication with owners.
Canine heart disease
Disease overview
Heart disease affects approximately 10% of all dogs1. The majority of cases are acquired, degenerative diseases of the heart valve or the heart muscle. Heart murmurs are often early signs of cardiac disease and so it is important to detect them early and grade them accurately for the best outcomes.
Challenges with heart murmur detection
Many murmurs are subtle and occur at low frequencies that are difficult or impossible for humans to hear.1 These can be missed during routine check-ups, especially in busy clinics or with restless patients.
Education and resources
Discover educational resources covering the challenges of auscultation in canine cardiology, to the rise of artificial intelligence in veterinary medicine.
Key questions and answers
Visit our FAQ section to uncover answers to key topics that you may have in mind.
Get in touch
Contact us if you have a query on canine heart disease or Eko Vet+™ | CANINEBEAT® AI
*CANINEBEAT® AI analyses heart sounds and classifies murmur loudness using a modified Levine intensity scale.
Reference: 1. Keene BW, Atkins CE, Bonagura JD, et al. ACVIM consensus guidelines for the diagnosis and treatment of myxomatous mitral valve disease in dogs. J Vet Intern Med. 2019;33:1127–1140. 2. Christer Ahlström (2006). Processing of the Phonocardiographic Signal − Methods for the Intelligent Stethoscope. Doctoral dissertation. Department of Biomedical Engineering, Linköpings universitet, Sweden. 3. The large, epidemiological LISTEN Study. 2026. Publication in submission.