AI and Autism: Early Detection, Adaptive Learning, and Support

Empowering Autism Support: The Future of AI Applications for ASD

Authors: Dr. Jerri Lynn Hogg
Conference:  III International Autism Conference Research & Practice
Keywords: AI, ASD, diagnosis, intervention, personalization


Abstract

Artificial Intelligence (AI) is reshaping how we understand and support individuals with Autism Spectrum Disorder (ASD)—from early detection to personalized, ongoing care. AI-driven diagnostic tools now analyze developmental patterns, genetic data, and neuroimaging to identify signs of autism earlier and with greater accuracy than traditional methods, offering new hope for timely interventions that improve long-term outcomes.

In therapy, adaptive learning environments powered by AI enable personalized, real-time support that evolves alongside the individual’s progress. These systems adjust to behavioral data, providing tailored interventions that enhance social skills, reduce anxiety, and encourage communication. As predictive analytics advance, AI is poised to forecast potential developmental challenges, enabling proactive strategies before difficulties fully emerge.

This presentation highlights how AI is revolutionizing support for people with ASD, ushering in a future where technology not only enhances diagnosis and treatment but also redefines the possibilities for education, skill-building, and daily independence.

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