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.

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.

BUFFALO, N.Y. – 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 ...

That analysis also showed that the second scribe's handwriting was more variable than that of the first, although the two styles were quite similar, indicating a possible common training.

AI-Enhanced Child Handwriting Analysis: A Framework for the Early Screening of Dyslexia and Dysgraphia. SN Computer Science, 2025; 6 (5) DOI: 10.1007/s42979-025-03927-0 ...