Artificial intelligence (AI), machine learning, and digital health technologies are expanding opportunities for autism research, diagnosis, intervention, and long-term care. Data-driven approaches enable the analysis of complex clinical, behavioral, and biological information to support more efficient and personalized healthcare.
This track welcomes research on AI-assisted diagnostics, predictive modeling, digital therapeutics, telehealth, mobile applications, and clinical decision-support systems. It promotes collaboration between healthcare professionals, engineers, computer scientists, and researchers to develop practical digital solutions for autism care.
Artificial Intelligence Machine Learning and Digital Health in Autism Conferences