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BI 218 Chris Rozell: Brain Stimulation and AI for Mental Disorders

Brain Inspired

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Measuring Depression and AI in Mental Health

This chapter examines the complexities of assessing depression through standardized scales like the Hamilton Depression Rating Scale, emphasizing the value of extreme scores in treatment evaluation. It discusses the integration of machine learning technologies to analyze brain data, enhance treatment response classification, and highlight key features indicative of mental health status. The narrative also addresses the challenges of interpreting AI models in clinical settings and their potential to provide deeper insights into mental health evaluation.

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