Google is researching the use of artificial intelligence (AI) technology to predict early health issues through sound, an innovative approach that could change our perspective on early disease detection.
According to recent reports, Google has trained its foundational AI model with up to 300 million audio segments, including coughs, sneezes, and sounds of difficulty breathing. These audio data will help AI identify potential diseases, such as tuberculosis.
Image source: Picture generated by AI, provided by Midjourney
To better serve the public with this technology, Google has partnered with an Indian startup, Salcit Technologies, planning to integrate this advanced health monitoring technology into smartphones. Imagine, in the future, in areas with scarce medical resources, people could simply cough, and their phones could help them detect their health status—a huge convenience brought by technology!
Google is not new to the health sector. Its investment arm has supported a company focused on detecting diseases through olfactory technology, showing Google's continuous efforts in exploring digital human senses. Google aims to make health management easier for everyone through these technological means.
Key Points:
1. 🎤 Google uses 300 million audio segments to train AI, capable of detecting potential diseases such as tuberculosis through sound.
2. 📱 Partners with an Indian startup to embed health monitoring technology into smartphones, aiding residents in remote areas.
3. 🔍 Google continues to explore in the health sector, committed to enhancing people's health management capabilities through technological means.