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Learn about the application of artificial intelligence in diagnosing Autism Spectrum Disorder (ASD) in this 39-minute lecture from NPTEL-NOC IITM. Explore the overview of ASD and the challenges faced in its diagnosis, comparing traditional diagnostic methods with emerging AI and machine learning approaches. Discover how eye-tracking technologies and gaze pattern analysis are being utilized to develop predictive models for ASD detection. The lecture also addresses important aspects of clinical validation and ethical considerations in implementing these technologies for autism diagnosis.
