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May 18, 2026Forensic ImagingOpen Access

Artificial Intelligence (AI), Hanging, Postmortem CT (PMCT)

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Authors

RMRabab Al MansooriHIHisahiro IkariYUYukiko Uemura

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Overview

Randomized trial evaluates AI's support for PMI estimation in hanging cases, indicating its potential utility.

Key Points

  • This study aims to evaluate whether AI-based PMCT analysis can support PMI estimation in hanging cases.
  • Retrospective review of fatal hanging cases (2016–2025) examined by PMCT and autopsy.
  • Inclusion criteria focused on specific livor mortis features relevant to PMI estimation.
  • AI model DINOv3 was utilized for analyzing PMCT images, focusing on chest volume of interest.
  • AI classification effectively separated early (≤ 0.5 day) from later (>0.5 day) discovery groups.
  • Achieved an AUC of 0.938 in the receiver operative characteristic curve analysis.
  • AI identified distinct time-related PMCT lung patterns between the discovery groups.

Cite This Study

Mansoori et al. (2026) studied this question.

synapsesocial.com/papers/6a0aabf55ba8ef6d83b6f981https://doi.org/10.1016/j.fri.2026.200726
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