In a groundbreaking study, researchers have developed a one-minute video game that can accurately identify autism in children aged 7 to 13.
The game involves participants mimicking dance-like movements of an on-screen avatar, while motion-tracking technology assesses their motor imitation skills.
The tool, known as the Computerized Assessment of Motor Imitation (CAMI), distinguished children with autism from their neurotypical peers with an 80% success rate and differentiated autism from ADHD with 70% accuracy.
This innovative approach offers a quick, engaging, and cost-effective method for early autism detection, potentially transforming diagnostic practices.
