Neural network spots previously missed epilepsy signs on brain MRIs
Researchers from the joint Biomedically-Informed AI Laboratory of Skoltech (a VEB.RF Group institution) and the University of Sharjah and their colleagues have improved the performance of computer vision algorithms that look for signs of epilepsy and multiple sclerosis on brain MRI scans. Rather than merely analyzing an image as a set of pixels, the neural network now also attends to medical…
Researchers from Skoltech and the University of Sharjah have enhanced the capabilities of computer vision algorithms for detecting signs of epilepsy and multiple sclerosis on brain MRI scans. These algorithms typically analyze images as collections of pixels; however, this new approach also takes into account medically relevant features recognized by physicians.
By incorporating these additional biologically informed cues, the models can identify subtle abnormalities that would otherwise be overlooked. The study, presented at the MICCAI 2026 conference in Strasbourg, France, demonstrates how these improvements could aid doctors in diagnosing these neurological conditions and selecting appropriate treatments.
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