Google is developing AI technology that can detect signs of illness by analyzing sound, aiming to enhance early diagnosis and healthcare outcomes
It may not surprise you that Google, in addition to other organizations, is utilizing sound signals to anticipate the onset of disease, given the extensive information you have already heard about AI.
In what manner? Bloomberg reports that Google has utilized 300 million audio files, including coughs, sniffles, and labored respiration, to train its foundation AI model.
This model is capable of identifying individuals who are afflicted with tuberculosis, for instance.
It has partnered with Salcit Technologies, a respiratory healthcare AI startup based in India, to integrate this technology into devices.
This technology can potentially assist high-risk populations in regions with limited access to healthcare.
It is not the first time that Google has attempted to digitize human senses.
Additionally, its venture capital arm has provided financial support to at least one startup employing artificial intelligence to detect diseases.
In the next few years, AI's insatiable need for energy is likely to grow, which could cause data centers to…
The Usual (USUAL) token has been listed on Binance Launchpool, and pre-market trading will commence shortly. Market optimism has been…
Amazon One Medical is adding more telehealth services with the start of low-cost treatment plans and medication delivery for a…
Franklin Templeton has extended its Benji tokenization platform to the Ethereum network following its previous launches on Aptos, Avalanche, Arbitrum,…
Latest data shows US PPI inflation at 2.4%, above forecast, dampening investor sentiment due to its potential impact on the…
DeFi's increasing accessibility is seen by PancakeSwap's new Telegram bot, which allows users to swap over 3,000 tokens from the…