Developed by machine learning specialists. Verified by medical experts. Built for the youth.
Ocular analyzes variation in the pupil's response to certain visual stimuli through an administered visuospatial working memory task given to patients.
Ocular was grounded in extensive scientific research highlighting strong correlations between pupillary responses and attentional span. Our application is the product of close collaboration with leading scientists and researchers.
Ocular precisely captures pupil biometrics in realtime every millisecond over a time series interval. The data, comprised of millions of matrixed values, is inputted into a complex machine learning algorithm for detailed analysis.
Oculur utilizes proprietary deep learning (artificial intelligence-based) algorithms to capture the pupil in realtime.
Ocular employs state-of-the-art machine learning algorithms to output detailed analysis of biometrics, including a probability of having ADHD.
Transcending the boundaries of simple diagnostics, Ocular uses AI to recommend next steps to take — whether a patient should see a professional medical practitioner, resources a patient should consult, and future measures to ensure the administration of proper medication and treatment regimen.
We are working with doctors and researchers at leading instituions across New York City.
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