Evaluation of an artificial intelligence-enabled digital stethoscope for detecting undiagnosed human valvular heart disease

This technical bulletin highlights how traditional cardiac auscultation in human medicine was enhanced using an AI-enabled digital stethoscope. In this real-world evaluation, improved sensitivity led to better detection of valvular heart disease, earlier diagnosis and potentially improved outcomes.

Missed murmurs: hiding in plain sight

This technical bulletin covers the potential of AI tools in improving diagnostic accuracy in veterinary medicine. It looks at observer experience in murmur detection, the likelihood of veterinary students and inexperienced practitioners detecting murmurs, and the training needed to prevent murmurs from being missed.

The role of artificial intelligence in human and veterinary medicine: current applications and future opportunities

AI is transforming the landscape of healthcare, offering tools that can enhance diagnostics, optimise workflows and improve patient outcomes. Human medicine has already adopted AI in a wide range of areas, and veterinary medicine is now beginning to use some of these tools. This article summarises some of the current applications of AI in human and veterinary healthcare and explores potential areas for expansion in veterinary practice.

How can artificial intelligence help detect canine heart conditions: is there a medical need?

This article considers the challenges associated with heart murmur and arrhythmia detection in veterinary practice and how AI tools can be used to improve routine physical examinations and more accurately detect murmurs.

From radiographs to stethoscopes: making life easier by transitioning from analogue to digital

This article reviews the history of medical imaging in veterinary medicine and its evolution in the digital age. It considers how the same transformation will apply to auscultation as the digital stethoscope is more widely adopted for veterinary use, addressing long-standing challenges in practice and opening the door to AI-enhanced diagnostics.

Understanding statistical measures of medical screening test performance in canine cardiac disease

Understanding how well a test performs, and how to interpret results, requires familiarity with key statistical measures. This article explains these concepts in the context of the new artificial intelligence (AI) tool in canine cardiology, CANINEBEAT® AI.