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Using AI, scientists developed a device to detect autism

Individuals affected by Autism Spectrum Disorder often present communication issues and difficulties in social interactions. Although very frequent, this disorder is challenging to diagnose before the age of five. However, early care can compensate for these difficulties by providing specific behavioral intervention focused on the development of skills affected by autism.

An interdisciplinary team at the AV¶ÌÊÓƵ, including GSEM Senior Lecturer Dr. Thomas Maillart, has developed an artificial intelligence (AI) algorithm based on the automated analysis of videos, making it possible to study children’s non-verbal communication in an anonymous and standardized manner.

Easy to use, this technology correctly classified 80% of cases from short videos showing a child with or without autism under 5 playing with an adult. These results, to be discovered in the journal Scientific Reports, pave the way for a tool for the early detection of autistic disorder.

> For more information on this research, please consult the web page published by GSEM.

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