A new artificial intelligence system developed by University of Louisville researchers has demonstrated near-perfect accuracy in diagnosing autism in toddlers aged 2 to 4. Using specialized MRI scans of the brain, the AI system achieved a diagnosis accuracy of 98.5%, offering the potential for earlier diagnosis and treatment of children with autism. The system relies on DT-MRI, a technique that detects abnormal brain connections, which are common in children with autism. By comparing patterns in the brains of children with autism to those of neurotypical children, the AI system can identify areas of deviation to diagnose whether a child is autistic or neurotypical. The researchers tested their method with 226 children and found that the AI approach was 97% accurate in spotting real cases of autism and 98% accurate in identifying children who did not have autism. The AI software is currently seeking clearance from the U.S. Food and Drug Administration, and researchers believe that therapeutic intervention before the age of three can lead to better outcomes for individuals with autism.
Read the full story: HealthDay
Can AI technology revolutionize the early diagnosis and treatment of autism in children?
Share your opinion in the comments below..
