In the U.S. alone, more than 1 million people are misdiagnosed with ADHD. On top of that, doctors and hospitals lose money from spending 10+ hours on diagnosis while making inaccurate diagnoses. Diagnoses are inaccurate because they are subjective, prone to inherent biases, and reliant on qualitative observations. Patients often suffer from misdiagnosis, academically, socially, and occupationally. Both patients and psychiatrists get stuck in the diagnostic bottleneck, which involves many repeated clinical evaluations often spanning many hours, and a depracated checklist of 18 symptoms.
Our mission is to provide an accurate, reliable mechanism to diagnose ADHD. We’re building an AI-based software platform that integrates with a low-cost VR wearale to to help clinicians and psychiatrists diagnose ADHD using our eye movements, specifically pupillometrics and eye gaze. We’re a research spin-off aiming to license our software at a reimbursed $150/test to small and medium-size private psychiatrists and practitioners. Our vision is to control the market for using eyes to diagnose multiple related disorders, such as autism, depression, and anxiety.