Scientists develop AI-based method to detect ADHD by analyzing videos

A group of U.K. scientists has developed a machine-learning-based method to detect ADHD by analyzing the actions of individuals in video clips. These videos included recordings of study participants working on specific tasks, captured using multiple cameras from different angles. The authors report that this method outperformed alternative diagnostic systems in differentiating between individuals with and without ADHD. The research was published in Neuroscience Applied.

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent patterns of inattention, hyperactivity, and impulsivity that interfere with functioning or development. Individuals with ADHD struggle to focus on tasks, follow instructions, or organize activities and are easily distracted by external stimuli. Hyperactivity symptoms can include excessive fidgeting, restlessness, or an inability to remain seated or quiet when appropriate. Read More