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Study Reveals New Autism Diagnosis Method Using Finger Movements

5/6/2025

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Summary

Story summary

A groundbreaking study from York University shows that examining how people grasp objects could revolutionize autism spectrum disorder diagnosis. By employing machine learning, researchers achieved an impressive 85% accuracy in differentiating between autistic and non-autistic individuals through finger movements. This innovative approach promises earlier diagnoses and better interventions for the one in 50 Canadian children affected by autism.

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Story summary

A groundbreaking study from York University shows that examining how people grasp objects could revolutionize autism spectrum disorder diagnosis. By employing machine learning, researchers achieved an impressive 85% accuracy in differentiating between autistic and non-autistic individuals through finger movements. This innovative approach promises earlier diagnoses and better interventions for the one in 50 Canadian children affected by autism.