Video Game Enables Autism Diagnosis in Children

Recent advancements in technology have paved the way for a novel method of diagnosing autism spectrum disorder (ASD) through a video game designed to analyze motor imitation skills. The game, known as CAMI (Computerized Assessment of Motor Imitation), utilizes motion-tracking technology to differentiate between typical neurological development and conditions such as autism and ADHD.

Developed by researchers at the Kennedy Krieger Institute and Nottingham Trent University, CAMI has demonstrated an impressive accuracy rate of 80% in distinguishing children with autism from their neurologically typical peers. Furthermore, it can differentiate children with ADHD from those with autism with a 70% success rate. The study involved 183 children aged between seven and thirteen, who were asked to mimic dance-like movements of a video avatar. Their performance was then assessed by the CAMI system.

Researchers emphasize the challenges in distinguishing between ADHD and autism since these conditions often co-occur. Even seasoned professionals can struggle to provide accurate diagnoses. CAMI aims to simplify the diagnostic process, which traditionally involves various assessments including questionnaires, behavioral observations, and developmental tests.

The three primary characteristics of autism spectrum disorder include impaired social interaction, challenges in communication, and repetitive or stereotyped behaviors and interests. Accurately diagnosing these features can be complicated and time-consuming. The team behind CAMI hopes that their innovative approach will not only reduce the time and costs associated with autism diagnosis but also inspire further projects aimed at enhancing diagnostic methodologies.

As technology continues to evolve, the potential for video games and similar tools in medical diagnostics opens new avenues for improving healthcare outcomes for children with autism.