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.
Current approach
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
A Novel Validation Strategy
In the previous post, we discussed the impact of a validation strategy on Machine Learning modeling results. We also touched on the importance of understanding the nature of the data when deciding on a validation strategy. In this post, I will describe the
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Sex Differences in Depression
The existence of sex differences in depression, while undeniable, is a bit more complex than might be represented by the media and popular literature. For example, it is an
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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
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