AI-Powered Innovations in Neurodiversity: Enhancing Support and Diagnosis [Video]

Artificial Intelligence (AI) has become a transformative tool in addressing the challenges faced by individuals with neurodevelopmental disorders. The research, led by Sachin Mishra, explores AI’s role in improving early diagnosis, treatment, and support mechanisms for conditions like Autism Spectrum Disorder (ASD), dyslexia, and ADHD. By leveraging AI technologies such as machine learning algorithms and natural language processing, breakthroughs are being made in creating personalized, effective solutions. These innovations are reshaping how individuals with neurodiversity are diagnosed and supported, offering new hope for earlier interventions and better outcomes.

Advancing Early Diagnosis for Autism Spectrum Disorder

Early diagnosis of Autism Spectrum Disorder (ASD) has typically been delayed until after key developmental years. However, AI-driven models, particularly convolutional neural networks (CNNs) trained on fMRI data, have significantly improved early detection, identifying ASD biomarkers in infants as young as six months with 92% accuracy. By analyzing neural activation patterns related to social cognition and language processing, these tools detect subtle differences undetectable …