FORENSIC IRIS ANALYSIS IN SUICIDE CASES: NOVEL APPROACHES FOR ASSESSING SUICIDAL PREDISPOSITION
DOI:
https://doi.org/10.55640/Keywords:
forensic iris analysis, suicide predisposition, iris patterns, emotional disturbances, chronic toxicity, degenerative alterations, chemical forensic analysis, diagnostic standards.Abstract
This investigation explores the application of iris analysis in forensic medicine to evaluate predisposition to suicidal actions. The study examines unique alterations in the iris structure associated with emotional and mental conditions that may lead to self-destructive tendencies. A quantitative framework for estimating suicide likelihood based on iris features was formulated, along with a computational system for automated iris image processing. Findings reveal the substantial diagnostic value of this technique, supported by quantitative evaluations and associations, highlighting its utility in forensic investigations and suicide mitigation strategies.
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1.World Health Organization. (2024). Suicide prevention: Global report 2024. Geneva: WHO. Available at: https://www.who.int/publications/i/item/suicide-prevention-global-report-2024
2.Smith, J., et al. (2023). Advances in forensic biomarkers: A review of novel diagnostic approaches. Forensic Science International, 345, 111623.
3.Kim, Y., & Park, S. (2024). Iris changes in suicide risk assessment. Clinical Toxicology, 62(6), 289–297.
4.Wang, H., & Li, M. (2022). Psychosomatic markers in forensic medical diagnostics. Journal of Forensic and Legal Medicine, 85, 102289.
5.Haut, A., et al. (2020). "Long-Term Substance Use Can Cause Irreversible Photopic Vision Changes in Substance Use Disorder in Remission". Cureus, 12(10), e10917
6.Patel, S., & Brown, T. (2023). Iris biomarkers in toxicological assessments. Archives of Toxicology, 97(5), 1345–1353.
7.Lee, K., et al. (2022). Iris pathology as a diagnostic tool in clinical settings. Journal of Clinical Pathology, 75(3), 145–152.
8.Zhang, W., et al. (2024). Multimodal forensic tools. Forensic Science Research, 9(4), 123–131.
9.Johnson, A. B., et al. (2023). Multimodal biomarkers for mental health risk assessment. Translational Research, 45–56.
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