Google has used 300 million audio samples of coughs, sniffles, and labored breathing to train its AI model to detect diseases like tuberculosis. Working with Indian startup Salcit Technologies, the technology will be incorporated into smartphones to transform respiratory care in India and globally, particularly in communities with limited access to healthcare. This builds on Google’s previous investment in AI to identify diseases using scent. The potential impact of this technology is significant and could revolutionize the way diseases are detected and treated, offering hope for improved healthcare in underserved populations around the world.
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Google uses AI to track disease by sound
