Eye Gaze and Attention Patterns Power a New AI Screen for Autism in Indian Children
Bioengineer.org
A new AI system uses eye gaze and attention patterns to screen for autism in Indian children with over 97% accuracy, offering a more objective alternative to traditional questionnaire-based methods. The system combines image analysis and video-based attention measurement, achieving high precision and recall on a balanced dataset of 14 autistic and 14 non-autistic children. Results show typically developing children exhibited significantly higher attention and engagement rates compared to autistic children.
All articles from 27 October 2026. Summaries are AI-generated and may contain errors; the linked article is the authority.