AI algorithm that detects brain abnormalities could help cure epilepsy

Written By : Isra Zaman

Medically Reviewed By : Dr. Kamal Kant Kohli

Published On 2022-08-17 03:30 GMT | Update On 2022-08-17 03:30 GMT

The Multicentre Epilepsy Lesion Detection project (MELD) used over 1,000 patient MRI scans from 22 global epilepsy centres to develop the algorithm, which provides reports of where abnormalities are in cases of drug-resistant focal cortical dysplasia (FCD)-a leading cause of epilepsy.

To develop the algorithm, the team quantified cortical features from the MRI scans, such as how thick or folded the cortex/brain surface was, and used around 300,000 locations across the brain.

Researchers then trained the algorithm on examples labelled by expert radiologists as either being a healthy brain or having FCD-dependant on their patterns and features.

The findings, published in Brain, found that overall the algorithm was able to detect the FCD in 67% of cases in the cohort (538 participants). This is particularly important, as if doctors can find the abnormality in the brain scan, then surgery to remove it can provide a cure. This study on FCD detection uses the largest MRI cohort of FCDs to date, meaning it is able to detect all types of FCD.

The MELD FCD classifier tool can be run on any patient with a suspicion of having an FCD who is over the age of 3 years and has an MRI scan.

Ref:

Mathilde Ripart et. al,Interpretable surface-based detection of focal cortical dysplasias: a Multi-centre Epilepsy Lesion Detection study,Brain,12-Aug-2022

Full View

Article Source : Brain

Disclaimer: This website is primarily for healthcare professionals. The content here does not replace medical advice and should not be used as medical, diagnostic, endorsement, treatment, or prescription advice. Medical science evolves rapidly, and we strive to keep our information current. If you find any discrepancies, please contact us at corrections@medicaldialogues.in. Read our Correction Policy here. Nothing here should be used as a substitute for medical advice, diagnosis, or treatment. We do not endorse any healthcare advice that contradicts a physician's guidance. Use of this site is subject to our Terms of Use, Privacy Policy, and Advertisement Policy. For more details, read our Full Disclaimer here.

NOTE: Join us in combating medical misinformation. If you encounter a questionable health, medical, or medical education claim, email us at factcheck@medicaldialogues.in for evaluation.

Isra Zaman

Isra Zaman is a Life Science graduate from Daulat Ram College, Delhi University, and a postgraduate in Biotechnology from Amity University. She has a flair for writing, and her roles at Medicaldialogues include that of a Sr. content writer and a medical correspondent. Her news pieces cover recent discoveries and updates from the health and medicine sector. She can be reached at editorial@medicaldialogues.in.

Comments Policy

Our comments section is governed by our Comments Policy . By posting comments at Medical Dialogues you automatically agree with our Comments Policy , Terms And Conditions and Privacy Policy .

AI algorithm that detects brain abnormalities could help cure epilepsy

Similar News

Insomnia Isn't Just Fatiguing-It Could Be Aging Your Brain Faster: Study Shows

AI-Powered Eye Scan Predicts Dementia Risk Years Before Symptoms: Study Finds

Can Blood Tests Replace Brain Scans for Alzheimer's? New Study Says Yes

Artificial Sweeteners Could Speed Up Brain Aging by 1.6 Years: Study Finds

Head Injuries May Raise Brain Cancer Risk: Major Studies Reveal

Tiny Gold Nanoparticles Show Promise For Early Parkinson's Disease Detection: Study Suggests

New 2025 Hypertension Guidelines Released with Stronger Focus on Brain Health and Early Intervention

Women with Down Syndrome More Vulnerable to Alzheimer's Than Men: Study Finds