News

A new AI-driven tool developed by researchers could revolutionize how educators and clinicians screen for dyslexia and ...
AI shows promise detecting dyslexia and dysgraphia from what children write on paper and tablets, a UB-led study suggests.
A new University at Buffalo-led study outlines how artificial intelligence-powered handwriting analysis may serve as an early detection tool for dyslexia and dysgraphia among young children.
Through the development and use of a language model that is specifically for child handwriting recognition – called Extended-TrOCR – SLPs, occupational therapists and educators will have a tool to ...
A new University at Buffalo–led study outlines how artificial intelligence–powered handwriting analysis may serve as an early ...