Google is now using its AI to streamline health issues in mainstream. Furthermore, Google has recently introduced an AI model called Health Acoustic Representations, (HeAR) to capture early symptoms of many diseases such as TB.
Meanwhile, Google is collaboration with researchers in India is using HeAR to identify different diseases. Diseases like TB and COPD will be identifiable as Google data base used 300 million cough sound to identify different pattern associated with diseases.
Owing to the precision and articulate vocal observations of HeAR early detection has been made possible. Previously, early detection of such diseases stood as an issue to limited heath care.
Furthermore, Google Research’s Director India, Shravya Shetty HeAR constantly outperforms other models, assuring early detection of heath diseases. In addition, Shravya Shetty stated,“AI can significantly improve TB detection, making care more accessible and affordable,” Shetty emphasized.
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Meanwhile, HeAR movers ahead from coughing. It can analyze sound patterns, and use it to link neurological problems, also.
It is not the first time AI is being used in healthcare. Previously, the University of Cambridge introduced EMethylNET model, used for early cancer detection. Meanwhile, New-York medtech company Ezra also utilizes AI to identify early symptoms of cancer.
As AI proceeds, early detection in medical industry is making healthcare more accessible for people around the globe.
