Google trains AI on 300M sounds to detect diseases via smartphone audio | Exploring bioacoustics, which combines biology and acoustics, demonstrates the growing use of AI to extract important information from human sounds.
https://interestingengineering.com/health/google-trains-ai-sounds-diseases
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From the article: In artificial intelligence progress, Google is advancing by employing a novel method that utilizes audio signals to anticipate initial symptoms of sickness.
Google has utilized 300 million audio samples, including coughs, sniffles, and labored breathing, to train its AI foundation model to identify signs of diseases like tuberculosis.
Google has teamed up with Salcit Technologies, an AI startup focused on respiratory healthcare in India, to incorporate this technology into smartphones.
High-risk communities in areas with restricted healthcare access could experience a transformation due to this.
We need more tools like this to get away from the oppression of the medical system.