Depression screening technology
Effective, non-invasive method of studying a patient’s brain activity.
Recent studies have demonstrated that different EEG signals and their combinations can be used as biomarkers
for depression with up accuracy: 90%
However, psychiatrists are rarely trained in how to run an EEG test or analyze the collected data.
Currently, in the majority of mental health clinics, psychiatrists diagnose depression based on Diagnostic and Statistical Manual of Mental Disorders (DSM-5) diagnostic criteria or by using other self-reported measures that are prone to the subjectivity of both professionals and patients. This diagnosis method, as well as an absence of methods based on analysis of depression biomarkers, often leads to misdiagnosis and inadequate treatment; it also makes it impossible to accurately monitor pharmacological treatment outcome
How it works
Neuroscience Software is developing an AI/ML software that will help lower patients’ risk of death by suicide and help diagnose, treat, and control treatment outcomes of depression.
How it helps
Neuroscience Software technology
- Enhance the accuracy of diagnoses
- Control treatment processes
- Detect suicidal cases
The Shortage of Psychiatrists in the US
High Demand For decades, the United States has seen a critical and ongoing shortage of psychiatrists. Between 2010 and 2014, posted positions for psychiatrists increased by over 97 percent (New American Economy, 2017). However, the demand for psychiatrists remainsMore details
The Cost of Treating Depression
Depression is a costly disease, particularly in terms of quality of life years lost to patients, lost productivity translating to dollar amounts for employers, and treatmentMore details
Why validation strategy matters, or how to get the perfect score with session fingerprints
While researching articles on EEG-based depression detection, we found an article  with a study that was 98% accurate in predicting depression. This finding is quite favorable,More details