Summary: A new AI-driven tool developed by researchers could revolutionize how educators and clinicians screen for dyslexia and dysgraphia in children. By analyzing handwriting samples from K–5 students, the system detects behavioral cues, spelling errors, motor difficulties, and cognitive issues with remarkable precision.
Unlike traditional screening, which is time-intensive and often condition-specific, this method is faster, scalable, and could ease the burden on the nation’s limited…
Article Source
https://neurosciencenews.com/ai-handwriting-dyslexia-28925/
