A study by researchers at York University suggests that AI can detect autism by analyzing subtle differences in how individuals grasp objects, achieving up to 89% accuracy through motion-tracking data. This non-invasive approach could provide a more accessible method for diagnosing autism, potentially benefiting earlier detection and tailored interventions.
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