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.
The work, presented in the journal SN Computer Science, aims to augment current screening tools which are effective but can be costly, time-consuming and focus on only one condition at a time.
It could eventually be a salve for the nationwide shortage of speech-language pathologists and occupational…
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News Source: www.sciencedaily.com
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