BrainCheck

BrainCheck is validating an eye-tracking cognitive assessment (ETCA) delivered on an iPad that leverages the front-facing camera and a deep learning algorithm to estimate gaze during structured visual tasks. The system records eye movements via a mobile app, stores videos for analysis in a secure cloud environment, and applies convolutional neural network–based gaze prediction informed by facial and eye landmarks and head-pose estimation. Designed as a brief, user-friendly screening tool, the technology seeks to complement existing cognitive tests with an objective digital biomarker that does not require dedicated eye-tracking devices.The team brings clinical, data science, and product development expertise. Chief Medical Officer Reza Hosseini Ghomi, MD, focuses on cognitive, memory, and movement disorders and has led technology-enabled neuropsychiatric research. Principal Data Scientist Bin Huang, PhD, specializes in machine learning and developed the prior eye-tracking algorithm; Data Scientist Duong Huynh, PhD, contributes experience in visual psychophysics, eye-tracking, and applied statistics. BrainCheck’s engineering group follows Agile practices and has delivered software used by physician practices and health systems. Together, they aim to improve eye-tracking accuracy, refine cognitive stimuli, and evaluate the feasibility and clinical utility of ETCA for early identification of AD/ADRD.