Suicide Prevention and Risk Assessment

Suicidal behavior involves dysregulation of serotonin, dopamine, and HPA axis function, along with structural and functional changes in prefrontal cortex, amygdala, and anterior cingulate cortex. Chronic stress, trauma, and psychiatric comorbidities increase risk. AI-based predictive models integrate clinical, behavioral, and physiological data to identify high-risk individuals. Telepsychiatry and digital monitoring allow real-time assessment, crisis intervention, and support delivery. Pharmacological interventions target mood stabilization and anxiety reduction, while psychotherapeutic strategies enhance coping and resilience. Combining biological insights, digital surveillance, and clinical intervention improves early detection and reduces suicide risk.

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