AI algorithm that detects brain abnormalities could help cure epilepsy uclnews
The Multicentre Epilepsy Lesion Detection project used over 1,000 patient MRI scans from 22 global epilepsy centers to develop the, which provides reports of where abnormalities are in cases of drug-resistant focal cortical dysplasia —a leading cause of epilepsy.
Researchers then trained the algorithm on examples labeled by expert radiologists as either being a healthy brain or having FCD, depending on their patterns and features., found that overall the algorithm was able to detect the FCD in 67% of cases in the cohort . Co-first author Mathilde Ripart said,"We put an emphasis on creating an AI algorithm that was interpretable and could help doctors make decisions. Showing doctors how the MELD algorithm made its predictions was an essential part of that process."
In children who have had surgery to control their epilepsy, FCD is the most common cause, and in adults it is the third most common cause.
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