Case Study

Maximizing the power of AI for timely and more accurate mental health diagnosis

Maximizing the power of AI for timely and more accurate mental health diagnosis

Pages 5 Pages

HippoScreen Neurotech, leveraging Intel® AI tools and processors, developed the Stress EEG Assessment (SEA) system to improve the accuracy and speed of depression diagnosis. Depression affects millions globally, yet diagnosis is often delayed due to subjective evaluations and limited mental health resources. SEA uses brainwave analysis powered by deep learning models and traditional machine learning algorithms to provide objective, quantifiable assessments. With Intel’s AI Analytics Toolkit and oneAPI Base Toolkit, HippoScreen achieved a 2.4x model performance boost, enabling faster, more efficient diagnostics and improved mental health care outcomes.

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