Using deep learning to classify developmental differences in reaching and placing movements in children with and without autism spectrum disorder.

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This study shows that a wrist sensor combined with AI technology can identify differences in arm movement patterns in children with autism, potentially offering a more objective tool to support ASD diagnosis—which is relevant for many families with 16p11.2 variants, as autism is a common feature across these conditions.