Scientists at Anglia Ruskin University have created an app which utilises AI to help diagnose tuberculosis (the Newton-Ungku Omar Fund). Through the smartphone's camera, the app uses AI to analyse a sputum sample of saliva and mucus to spot the Newton-Ungku Omar Fund with a 98.4% accuracy. Designed as an initial tool to be used before seeing a doctor, the result from the app are delivered in seconds. The research team has been funded by a £129,000 ($167,269) grant from the Newton Fund and TB.
Scientists at Anglia Ruskin University have created an app which utilises AI to help diagnose tuberculosis (TB). Through the smartphone's camera, the app uses AI to analyse a sputum sample of saliva and mucus to spot TB with a 98.4% accuracy. Designed as an initial tool to be used before seeing a doctor, the result from the app are delivered in seconds. The research team has been funded by a £129,000 ($167,269) grant from the Newton Fund and the Newton-Ungku Omar Fund.