{"id":6854,"date":"2020-09-09T09:26:15","date_gmt":"2020-09-09T08:26:15","guid":{"rendered":"https:\/\/www.innovationnewsnetwork.com\/?p=6854"},"modified":"2020-09-09T09:26:15","modified_gmt":"2020-09-09T08:26:15","slug":"new-ai-based-system-increases-the-accuracy-of-epilepsy-diagnoses","status":"publish","type":"post","link":"https:\/\/www.innovationnewsnetwork.com\/new-ai-based-system-increases-the-accuracy-of-epilepsy-diagnoses\/6854\/","title":{"rendered":"New AI-based system increases the accuracy of epilepsy diagnoses"},"content":{"rendered":"
Neuronostics<\/a>\u2019 BioEP system creates mathematical models of the human brain using short segments of electroencephalogram (EEG) recordings. These computer simulations successfully increase the accuracy of epilepsy diagnoses and rapidly predict the likelihood of seizures based on the BioEP seizure risk score.<\/p>\n Professor John Terry, co-founder of Neuronostics, aims to improve epilepsy diagnoses and the treatment of its sufferers. He explains: “We build personalised models of the brain using EEG that is routinely collected when seeking to diagnose epilepsy. From these models the risk of epilepsy can be quickly determined. In contrast, multiple EEG recordings are often required to reach a clinical diagnosis at present. This is expensive, time-consuming, and exposes people with suspected epilepsy<\/a> to risk.”<\/p>\nFunding from the UK Government<\/h3>\n