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Novel AI System Could Diagnose Autism Much Earlier

New AI system achieves 98 5% accuracy in autism diagnosis

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.

AI Might Accurately Spot Autism in Early Childhood

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

Norton Children s facility in Hikes Point will be home to brand new autism center

Welch involved in over $21 6M in robotics research

Welch involved in over $21.6M in robotics research Special to the Advocate Dr. Karla Conn Welch is an Associate Professor in the Electrical and Computer Engineering (ECE) department at the University of Louisville (UofL). She is an active member of the Louisville Automation and Robotics Research Institute (LARRI). She is part of the team awarded an EPSCoR (Established Program to Stimulate Competitive Research) grant from the National Science Foundation (NSF). The $20 million grant is a joint project connecting several universities across the commonwealth. Dr. Dan Popa, also in ECE, leads UofL’s branch of the project through LARRI. The 5-year project is called KAMPERS (Kentucky Advanced Manufacturing Partnership for Enhanced Robotics and Structures) and will develop global excellence in next-generation flexible electronics, manufacturing technologies, and robotics. 

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