Google is advancing its AI capabilities to detect early signs of illness through sound analysis.
By training its AI model on 300 million audio samples, including coughs, sniffles, and breathing difficulties, the tech giant aims to identify health issues like tuberculosis.
In collaboration with Salcit Technologies, an Indian respiratory healthcare AI startup, Google is working to integrate this technology into smartphones.
This initiative targets regions with limited healthcare access, offering a potentially valuable tool for early disease detection.
Google’s exploration into digitizing human senses continues, as the company also invests in startups focused on using AI to identify diseases through various sensory data.
