A new study published in Translational Psychiatry suggests that combining virtual reality, eye tracking, head movement data, and self-reported symptoms may help identify attention-deficit/hyperactivity disorder (ADHD) in adults with improved accuracy. In a diagnostic task designed to mimic real-world distractions, researchers found that their machine learning model could distinguish adults with ADHD from those without the condition 81% of the time when tested on an independent sample.