In a groundbreaking advancement in artificial intelligence, Google is leveraging audio signals to detect the early symptoms of illness. Using 300 million audio samples—ranging from coughs to labored breathing—Google has trained its AI foundation model to recognize signs of diseases like tuberculosis. In collaboration with Salcit Technologies, an AI startup in India focused on respiratory healthcare, Google is working to integrate this technology into smartphones. This innovation has the potential to transform healthcare in high-risk, underserved communities by offering more accessible diagnostic tools.
Google has a history of digitizing human senses, and its venture into bioacoustics is an extension of that. Bioacoustics, which merges biology and acoustics, uses AI to interpret sounds made by humans and animals to gain medical insights. In this field, Google’s new AI model, HeAR (Health Acoustic Representations), stands at the forefront. This model utilizes sound signals to detect early signs of illness, offering a promising tool for early diagnosis.
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