JOURNAL ARTICLE

Findings from Ordu University Education and Research Hospital Update Understanding of Health Informatics (Inferential performance and temporal stability of large language models in suicide method prediction: A forensic psychiatric analysis).

  • Published In: Mental Health Weekly Digest, 2026. P. 136 1 of 2

  • Database: Psychology Source 2 of 2

Abstract

The article focuses on a study evaluating the effectiveness of large language models (LLMs) in predicting suicide methods based on indirect forensic psychiatric indicators. Conducted in Ordu, Turkey, the research analyzed 92 forensic psychiatric cases from 2019 to 2024, examining variables such as age, sex, psychiatric diagnosis, and previous suicide attempts. Six LLMs were tested, with Gemini 2.5 Flash achieving the highest accuracy of 76.09%. The study concluded that while LLMs show promise in inferring suicide methods, limitations in detecting rare methods and ensuring temporal consistency highlight the need for further refinement and validation before forensic application. [Extracted from the article]

Additional Information

  • Source:Mental Health Weekly Digest. 2026/01, p136
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2026
  • ISSN:1543-6616
  • Accession Number:190906631
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