Breakthrough AI Technology Enables Earlier Autism Diagnosis
Author: Radiological Society of North America (RSNA) – Contact: rsna.org
Peer-Reviewed: N/A – Publication Type: Announcement / Notification
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Synopsis: The algorithm is trained to identify areas of deviation to diagnose whether someone is autistic or neurotypical. A machine learning algorithm compares the marker patterns in the brains of children with autism to those of the normally developed brains. The AI system produces a report detailing which neural pathways are affected, the anticipated impact on brain functionality, and a severity grade that can be used to guide early therapeutic intervention.
A newly developed artificial intelligence (AI) system that analyzes specialized MRIs of the brain accurately diagnosed children between the ages of 24 and 48 months with autism at a 98.5% accuracy rate, according to research being presented next week at the annual meeting of the Radiological Society of North America (RSNA).
Mohamed Khudri, B.Sc., a visiting research scholar at the University of Louisville in Kentucky, was part of a multi-disciplinary team that developed the three-stage system to analyze and classify diffusion tensor MRI (DT-MRI) of the brain. DT-MRI is a special technique that [...]