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New Delhi: Google has launched a new feature. Groundbreaking AI System According to a recent report by Bloomberg, this technology can potentially detect early signs of disease by analyzing audio signals. This technology is based on Google’s Acoustic representation of health The (HeAR) project could revolutionise access to healthcare in underprivileged areas.
The AI model trained on 300 million audio samples including coughs, sneezes and breathing patterns aims to identify diseases such as tuberculosis (TB) through subtle acoustic signals. Google has partnered with Salsit Technologies, a company committed to providing better healthcare to its customers. Indian Respiratory Health Service The AI startup will integrate this technology into smartphones, making it accessible to everyone. High-risk populations In areas with limited health care resources.
TB, which kills about 4,500 people every day according to the World Health Organization, is the primary target for this technology. In India alone, TB kills about 2.5 million people every year, highlighting the urgent need for TB treatment. Early detection methods,
According to a Bloomberg report, the HeAR AI model was trained on 100 million cough sounds, making it capable of detecting TB based on subtle differences in cough patterns. This smartphone-based tool can recognize TB symptoms to a great extent. Enhancing screening capabilities In remote areas, countless lives can potentially be saved through early intervention.
Salsit Technologies is leveraging Google’s AI models to improve its own AI models. Machine Learning SystemsSwaasa, which has already received approval from India’s medical device regulator. The Swaasa app allows users to upload a 10-second cough specimen for disease testingWhose accuracy rate is 94 percent.
Although the technology is promising, challenges still remain. These include gaining acceptance in clinical practices, ensuring Clean Audio Samplesand addressing user familiarity with technology in rural areas.
Google is also exploring other applications of this bioacoustic AI, including early detection of breast cancer using ultrasound at Chang Gung Memorial Hospital in Taiwan.
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