AI is transforming various industries, and the smartphone sector is no exception. Recently, Google has taken a significant leap forward by integrating AI technology into smartphones to enhance disease detection.
According to Bloomberg, Google has trained its AI models on an extensive dataset of 300 million audio samples, including coughs, sniffles, and labored breathing. This advanced model aims to identify early signs of diseases like tuberculosis, offering a new tool for healthcare.
In a strategic move, Google has partnered with Salcit Technologies, an Indian startup specializing in respiratory healthcare AI. This collaboration aims to embed Google’s AI technology into smartphones, particularly benefiting high-risk populations in regions with limited access to healthcare services. The goal is to make disease detection more accessible and efficient, even in remote areas.
This initiative is part of Google’s broader efforts to digitize human senses. Through its venture arm, Google has previously invested in startups focused on leveraging AI to detect diseases in innovative ways.
By incorporating such technology into everyday devices like smartphones, Google is paving the way for significant advancements in preventive healthcare.
With these developments, the future of health monitoring and disease prevention looks promising, as AI continues to push the boundaries of what’s possible in the medical field.
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