What does this research mean for the field?

Artificial intelligence models, particularly those integrating multi-omics data, provide a highly accurate and robust method for estimating the postmortem interval, achieving a combined area under the curve of 0.94. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This study examines the use of artificial intelligence in estimating the postmortem interval based on recent literature.

August 2, 2026Forensic Science Medicine and PathologyOpen Access

Application of artificial intelligence in the determination of the postmortem interval: Systematic review of the literature and metaanalysis

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Authors

LCLidaray Cuba-Gutierrez MIMarina Invernón-Monedero EOEduardo Osuna

Discussion

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Overview

Systematic review and meta-analysis assess AI's predictive performance for estimating the postmortem interval, suggesting strong capabilities amid challenges.

Key Points

This study examines the use of artificial intelligence in estimating the postmortem interval based on recent literature.
Conducted a systematic review of studies published from 2015 to 2025 across PubMed, Scopus, and Google Scholar.
Performed a meta-analysis on five studies focusing on AI models including neural networks and random forest.
Assessed predictive performance using the area under the curve (AUC) as the primary metric.
The meta-analysis yielded a combined AUC of 0.94 (95% CI: 0.81–1.08) based on five studies.
Multiple AI models achieved over 90% accuracy in determining postmortem interval.
No significant heterogeneity or publication bias was detected in the analysis.

Cite This Study

Cuba-Gutierrez et al. (2026) studied this question.

synapsesocial.com/papers/6a6eeb201b0468a7eeab413a https://doi.org/10.1007/s12024-026-01309-3

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August 2, 2026Forensic Science Medicine and PathologyOpen Access

Application of artificial intelligence in the determination of the postmortem interval: Systematic review of the literature and metaanalysis

View Full Paper

Ask AI

Bookmark

Authors

LCLidaray Cuba-Gutierrez MIMarina Invernón-Monedero EOEduardo Osuna

Discussion

Member takes

Overview

Systematic review and meta-analysis assess AI's predictive performance for estimating the postmortem interval, suggesting strong capabilities amid challenges.

Key Points

This study examines the use of artificial intelligence in estimating the postmortem interval based on recent literature.
Conducted a systematic review of studies published from 2015 to 2025 across PubMed, Scopus, and Google Scholar.
Performed a meta-analysis on five studies focusing on AI models including neural networks and random forest.
Assessed predictive performance using the area under the curve (AUC) as the primary metric.
The meta-analysis yielded a combined AUC of 0.94 (95% CI: 0.81–1.08) based on five studies.
Multiple AI models achieved over 90% accuracy in determining postmortem interval.
No significant heterogeneity or publication bias was detected in the analysis.

Cite This Study

Cuba-Gutierrez et al. (2026) studied this question.

synapsesocial.com/papers/6a6eeb201b0468a7eeab413a https://doi.org/10.1007/s12024-026-01309-3

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