C. Ranathunga

Real-world clinical validation of brainstem-based ocular biomarkers for ADHD classification in children and adults.

This work proposes an objective deep-learning approach classifying ADHD via task-evoked pupil diameter and binocular eye-movement synchrony during a visual cueing task in 439 participants across 14 clinical centers, offering a robust tool to reduce subjective clinical bias.