Year: 2024 Source: BRAIN. Broad Research in Artificial Intelligence and Neuroscience, (2024). 15(4), 133-143. http://dx.doi.org/10.70594/brain/15.4/10 SIEC No: 20242221
Suicide risk assessment is one of the critical components of mental health care, necessitating accurate, reliable, and sensitive tools to identify at-risk individuals and guide interventions. This article provides a comprehensive analysis of various clinical scales used to assess suicidal risk, exploring their psychometric properties, target populations, and practical applications. Key scales discussed include BSS, C-SSRS, SBQ-R, and SS. The analysis highlights the importance of integrating these tools into clinical practice to enhance early detection and management of suicidal behaviors, particularly among high-risk groups such as individuals with depression, mood disorders, adolescents, and so on. The effective application of these assessment scales is crucial in improving mental health outcomes, emphasizing a multifaceted approach that includes mental health support, community engagement, and targeted interventions for high-risk groups. The article underscores the need for ongoing research and refinement of these tools to adapt to the evolving understanding of suicidal behavior and prevention strategies.