Neural network spots previously missed epilepsy signs on brain MRIs

AI Summary

Researchers at Skoltech and the University of Sharjah developed a neural-network approach that improves detection of epilepsy and multiple sclerosis signs in brain MRI scans. By incorporating medically informed features alongside image analysis, the method may help clinicians diagnose disease and guide treatment.

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 features known to physicians. This is complemented by the machine's capability to spot subtle details that elude the human eye. In the future, such solutions will help doctors diagnose diseases and select treatment strategies.