Ai In Medicine: University Of Southern California Develops Ai Platform That Helps In The Early Diagnosis Of Autism Via A Five-minute Ipad Coloring Game!

In a groundbreaking study, researchers at the University of Southern California (USC) have harnessed the power of artificial intelligence (AI) to enhance the early diagnosis of autism. Led by Professor Dr Lisa Aziz-Zadeh, the team’s study introduces an innovative AI platform that utilizes data from a five-minute iPad coloring game. The technology not only shows remarkable accuracy in distinguishing between typically developing children and those with autism spectrum disorder (ASD) but also opens new avenues for early detection and intervention. The study utilized iPads to collect touchscreen kinematic data from 54 children aged 8 to 17, including 18 with ASD, 16 with developmental coordination disorder (DCD), and 20 typically developing children. The AI platform achieved an accuracy of 76% in distinguishing between typically developing children and those with ASD, 78% for distinguishing between typical development and DCD, and 71% for distinguishing between ASD and DCD. Early identification of developmental disorders is paramount for implementing tailored therapeutic interventions, resulting in improved outcomes for children with ASD.