Building the Precision Medicine for Mental Disorders via Radiomics/Machine Learning and Neuroimaging

Abstract

A pressing need of diagnostic, predictive, and prognostic markers exists in clinical settings. Unfortunately, in spite of evidence for underpinnings in mental disorders over the past decade, biologically based markers in reflection to the physiology for guiding clinical practice have obviously lagged behind. On the one hand, the updated Diagnostic and Statistical Manual of Mental Disorders remains to emphasize how mental disorders are expressed, although it provides a model that helps clinicians to perform better diagnosis and follow-up care On the other hand, as the 23rd edition of the "Clinical Handbook of Psychotropic Drugs" has said, "we can provide current evidence-based and clinically relevant information to optimize patient care, " but the information is derived from randomized controlled trials and leading clinical experts, etc. Therefore, clinical practice requests guidance of some objective, quantitative, and specific biomarker, reflecting its neurobiological substrates for diagnosis and treatment selection.

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