AI can detect low-glucose levels via ECG without fingerpick test

#artificialintelligence 

Sign in to report inappropriate content. A new technique developed by researchers at the University of Warwick uses the latest findings of Artificial Intelligence to detect hypoglycaemic events from raw ECG signals, via wearable sensors. The technology works with an 82% reliability, and could replace the need for invasive finger-prick testing with a needle, which could be particularly useful for paediatric age patients.