Investing in AI-powered diagnostics for Mental Health
AI-powered medical technologies are evolving into solutions for clinical practice. Deep learning algorithms can process enormous amounts of data provided by wearables, smartphones and other mobile devices enabling early, rapid and more accurate diagnosis that will lead to more effective treatments whilst reducing the cost of healthcare for patients and governments.
Screening for Mental Health Conditions
Patient + Clinician Treatment Cycle
Patient downloads application
& photographs face
Facial data analyzed using proprietary
AI-driven software
Mental health assessment reported
to patient and clinician
Reduce Subjectivity
Subjectivity or lack of awareness by clinicians can lead to misdiagnosis or no diagnosis. Objective data-driven screenings can reduce confusion.
Increase Accessibility
Lack of access, awareness and affordability of treatment options leads patients back to the beginning in a cycle of frustration and misinformation.
Serve a Great Need
More than half of adults in the US suffering from mental health issues do not receive treatment. Depression is the leading cause of disability for individuals aged 15-44.
Monitor & Improve
Patients interact with an application, providing assessments for a clinician who can adapt and improve treatment based on the results.
