Can we hear disease before we see it?
What if the sounds of coughs could unlock the secrets to diagnosing diseases?
Researchers at Google have created an innovative AI model called Health Acoustic Representations (HeAR), designed to identify acoustic biomarkers for diseases like tuberculosis. This groundbreaking technology has the potential to revolutionize healthcare by simplifying disease diagnosis using sound. This video delves into the development of HeAR, exploring how it leverages machine learning to analyze coughs and breathing patterns, potentially leading to faster and more accessible disease detection. Learn how HeAR could transform healthcare by enabling early diagnosis and treatment, particularly in areas with limited access to advanced medical tools. Discover the future of healthcare with HeAR and its potential to improve lives around the world.
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You’ll hear from:
Sujay Kakarmath, Health AI Product Manager, Google