Google Utilizes Sound Signals to Predict Diseases Early
In a groundbreaking move, Google has incorporated sound signals into its AI model to detect early signs of disease, including tuberculosis. By analyzing 300 million audio samples of coughs, sniffles, and labored breathing, Google aims to revolutionize healthcare by identifying illnesses before they progress.
Teaming up with Salcit Technologies, an Indian respiratory healthcare AI startup, Google plans to integrate this technology into smartphones. This innovation has the potential to benefit high-risk populations in regions with limited access to healthcare services.
This isn't Google's first endeavor in digitizing human senses. Through its venture arm, Google has also supported startups using AI to detect diseases through scent.
Analysis:
Google's use of sound signals to predict diseases early showcases the power of AI in revolutionizing healthcare. By leveraging technology to analyze audio samples, Google aims to improve early detection of illnesses, potentially saving lives and reducing healthcare costs. This innovation has the potential to benefit underserved populations with limited access to healthcare services, highlighting the positive impact of AI in addressing global health challenges. As technology continues to advance, we can expect more breakthroughs in healthcare that leverage AI for early disease detection and prevention.