Researchers at the University of Cambridge have developed a machine-learning tool that listens to dogs’ heartbeats to help vets detect murmurs and early heart disease, especially myxomatous mitral valve disease (MMVD), without needing expensive imaging. Using digital stethoscope recordings, the AI analyzes the heart sounds and grades murmur intensity, achieving high accuracy similar to expert cardiologists. This tool could make heart disease diagnosis in dogs faster, cheaper, and less stressful, enabling vets to prescribe treatments based on simple exams. Tested on over 750 dogs, the algorithm showed an 87.9% accuracy in murmur detection and accurately graded murmur severity in many cases. Researchers plan to expand this tool for everyday vet use, hoping to improve early diagnosis and treatment options for heart conditions in dogs, ultimately helping dogs live healthier, longer lives with more accessible and affordable heart care.
Grey Matterz Thoughts
Cambridge researchers have developed an AI tool to detect heart murmurs in dogs using digital stethoscope data, making diagnosis quicker and less costly. This innovation could improve early treatment and extend the lives of dogs with heart disease.
Source: https://shorturl.at/e5rvx
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