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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While some people might know dyslexia as a disorder that affects children, it can also impact adults. This is especially true if the disorder is not caught when someone is young. Adults with dyslexia may find that it can cause issues in day-to-day life, although the symptoms can change depending on various circumstances.
Adults with dyslexia may develop the habit of avoiding things they have difficulty with. This can lead to not applying for promotions that involve a high amount of administrative work (LoGiudice, 2018). Adult dyslexia can also cause someone to feel frustrated with certain parts of work that include sequential tasks and processes.
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After a period of peer review, the draft Dyslexia Delphi Study papers released last year, have now been finalised. The researchers have undertaken some minor changes and the completed papers have now been published in the Journal of Child Psychology and Psychiatry and the Dyslexia Journal.
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