We have the world’s first regulatory approved SaMD for depression risk assessment via voice, and we are developing new applications for other chronic diseases using our state of the art voice AI technologies
Voice Health Tech’s AI model produces highly accurate assessment results. Using speaker independent 10-fold cross validation, our model’s average AUC reaches 0.902, with a sentivity of 81.4% and specificity of 86.6%.
Voice data were collected from real patients diagnosed by psychiatrists following DSM-5 standards from six different mental health hospitals across China. Oizys dataset now contains more than 43000 audio sessions.
AI model and realted technology was carefully designed to optimize for mobile first environments. All voice data were collected from patient’s own mobile devices. And the model only requires low recording settings (16KHz, 16-bit, mono audio), which is supported by most smart phones, smart wearables, and smart home devices.
In the current healthcare landscape, the diagnostic pathway is fundamentally challenged.
Common chronic conditions often require 6 to 12 months for accurate confirmation.
Patients see an average of 8 different physicians before receiving a correct diagnosis.
Delayed diagnosis leads to $47 billion in excess healthcare costs annually in the U.S. alone.
Rare diseases take an average of 4.7 to 7.6 years to diagnose.
| Condition | Avg Time to Diagnosis | Annual Incidence (US) | Patients Affected by Delay |
|---|---|---|---|
| Depression | 5 years | 21 million | 10.5 million |
| Bipolar Disorder | 6.46 years | 2.8 million | 1.8 million |
| Alzheimer's Disease | 1.5 years | 6.7 million | 3.4 million |
| Parkinson's Disease | 3+ years | 90,000 new/year | 45,000+ |
For Patients Early detection yields an average of 10.74 additional years of healthy life expectancy. The technology provides for at-home monitoring and progression measurement.
For Healthcare Providers Combat physician burnout with tools that automate initial screening and triage. Our technology acts as a Clinical Decision Support Tool that integrates seamlessly into clinical and operation workflows.
For Health Insurers (Payors) Improve risk stratification and avoid long-term costs. Catching depression early, for example, can reduce annual treatment costs from approximately $4,246 to $2,371.
For Pharmaceutical Companies Modernize drug development with objective digital endpoints for clinical trials, replacing subjective self-reporting scales with precise, real-time data.
