AI Detects Epilepsy Brain Abnormalities
This is a AI news story, published by ScienceDaily, that relates primarily to MELD Graph news.
AI news
For more AI news, you can click here:
more AI newsNews about Ai research
For more Ai research news, you can click here:
more Ai research newsScienceDaily news
For more news from ScienceDaily, you can click here:
more news from ScienceDailyAbout the Otherweb
Otherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best tech news, business news, entertainment news, and much more. If you like this article about Ai research, you might also like this article about
Multicentre Epilepsy Lesion Detection project. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest operable epilepsy news, epilepsy news, news about Ai research, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
Consultant EpileptologistScienceDaily
•Technology
Technology
AI to diagnose 'invisible' brain abnormalities in children with epilepsy

76% Informative
MELD Graph is an AI tool that could drastically change the care for 30,000 patients in the UK and 4 million worldwide with one cause of epilepsy.
Researchers say the tool will speed up diagnosis times, get patients the surgical treatment they need quicker, and reduce costs to the NHS by up to 55,000 per patient.
VR Score
81
Informative language
84
Neutral language
64
Article tone
formal
Language
English
Language complexity
60
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
medium-lived
External references
no external sources
Source diversity
no sources
Affiliate links
no affiliate links