Google is Developing AI That Can Hear If You're Sick

A new AI model being developed by Google could make diagnosing tuberculosis and other respiratory ailments as easy as recording a voice note. From a report: Google is training one of its foundational AI models to listen for signs of disease using sound signals, like coughing, sneezing, and sniffling. This tech, which would work using people's smartphone microphones, could revolutionize diagnoses for communities where advanced diagnostic tools are difficult to come by.

The tech giant is collaborating with Indian respiratory health care AI startup, Salcit Technologies. The tech, which was introduced earlier this year as Health Acoustic Representations, or HeAR, is what's known as a bioacoustic foundation model. HeAR was then trained on 300 million pieces of audio data, including 100 million cough sounds, to learn to pick out patterns in the sounds.
Salcit is then using this AI model, in combination with its own product Swaasa, which uses AI to analyze cough sounds and assess lung health, to help research and improve early detection of TB based solely on cough sounds.

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