Google Develops AI to Detect Illness Through Sound

The new model, HeAR, uses bioacoustics to identify early signs of diseases like tuberculosis from audio samples.

HeAR was trained on 300 million audio samples, including 100 million cough sounds.
The AI can detect subtle changes in coughs, sniffles, and breathing patterns.
Google is collaborating with India's Salcit Technologies to enhance the model's accuracy.
Salcit's app, Swaasa, can diagnose diseases with 94% accuracy from a 10-second cough sample.
The technology aims to improve healthcare access in regions with limited medical resources.