New York: A new artificial intelligence system has been developed that can diagnose autism in children early.
The innovative system, developed by researchers at the University of Louisville, will be introduced this week at the annual meeting of the Radiological Society of North America in Chicago.
The new artificial intelligence-based system that analyzes specialized brain MRIs can diagnose autism in children between 24 and 48 months with a 98.5 percent accuracy rate, researchers said.
A team of researchers at the University of Louisville developed an innovative three-step system for analyzing and classifying DT-MRI of the brain. DT-MRI is a special technique that detects how water circulates in the brain’s white matter vessels, according to a news release.
Study co-author and chair of the bioengineering department at the University of Louisville, Professor Ayman Albaz, said current autism diagnosis tools are artificial, especially when assessing individuals who are close to the borderline of autism.