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June 13, 2026International Journal of Legal MedicineOpen Access

Artificial intelligence in forensic science: a systematic review. Part II: long-range postmortem interval estimation

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Authors

VBValentina BugelliFCFrancesco CalabròJCJessika Camatti

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Overview

Systematic review evaluates AI models for postmortem interval estimation, indicating potential for improved accuracy.

Key Points

  • This review aims to evaluate AI-based models developed for estimating the postmortem interval (PMI).
  • Systematic literature search conducted in PubMed/MEDLINE and Scopus until March 2026.
  • Included studies focused on AI and machine learning applications for real postmortem datasets.
  • Data extraction included study characteristics, AI model architecture, validation strategy, and performance metrics.
  • 64 studies met inclusion criteria, with microbiome-based models being the most common approach (n=29).
  • Random Forest algorithms were frequently used, especially in microbiome studies.
  • Performance varied widely, with some models achieving high accuracy depending on the methods and data used.

Cite This Study

Bugelli et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf688faef96ed7f0582ebhttps://doi.org/10.1007/s00414-026-03856-4
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