A team of researchers from the State University of New York at Buffalo has presented an innovative study on the use of artificial intelligence in the early detection of dyslexia and dysgraphia in children.
The study proposes a method for analyzing handwriting—on paper or tablet—to identify early signs of these disorders. Its aim is to complement existing screening tools, which are often costly, time-consuming, and focused on detecting only one disorder at a time.
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