MOSCOW, Sept 23 (KUNA) -- The Russian Ural Federal University (UrFU) announced Tuesday that its scientists have developed an AI algorithm that can detect neurological disorders, offering a faster, cheaper, and more accessible path to early diagnosis.
In a press statement, the UrFU said that the new method could diagnose a wide array of neurological conditions such as autism, ADHD, and Parkinson's disease from simple, low-cost retinal imaging.
The foundation of the method is the electroretinogram - a test that records the retina's electrical response to flashes of light, the Russian university clarified, adding that the UrFU's Artificial Intelligence Center trained the algorithm to recognize subtle patterns in these signals that point to serious brain disorders.
The technology promises a breakthrough in global healthcare by speeding up diagnosis and easing the workload on physicians.
The statement underlined that the new method is an effective tool for large-scale screening - not replacing doctors, but supporting them.
Unlike many opaque AI systems, this technology is built on transparent and explainable models. Instead of a simple yes-or-no result, physicians can see exactly which parts of the signal triggered the algorithm's concern. That visibility helps doctors understand the AI's logic and make informed decisions about further patient care. (end) dna.ibi