Evidence map›Paper›PMID 41862760›Full record

ArticleInternational journal of legal medicine2026

Age and sex estimation using post-mortem CT scout view.

Corentin Provost, Marie-Edith Richard, Tania Delabarde, Ghazi Hmeydia, Alice Le Berre, Wagih Ben Hassen, Olivier Naggara, Lilia Hamza, Bertrand Ludes, Catherine Oppenheim and 1 more

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Article in International journal of legal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Corentin ProvostInstitute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, IMA-BRAIN, Université Paris Cité, 75014, Paris, France.
Marie-Edith RichardInstitute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, IMA-BRAIN, Université Paris Cité, 75014, Paris, France.
Tania DelabardeInstitut Médico-Légal de Paris, Paris, France.
Ghazi HmeydiaInstitute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, IMA-BRAIN, Université Paris Cité, 75014, Paris, France.
Alice Le BerreInstitute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, IMA-BRAIN, Université Paris Cité, 75014, Paris, France.
Wagih Ben HassenInstitute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, IMA-BRAIN, Université Paris Cité, 75014, Paris, France.
Olivier NaggaraInstitute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, IMA-BRAIN, Université Paris Cité, 75014, Paris, France.
Lilia HamzaInstitut Médico-Légal de Paris, Paris, France.
Bertrand LudesInstitut Médico-Légal de Paris, Paris, France.
Catherine OppenheimInstitute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, IMA-BRAIN, Université Paris Cité, 75014, Paris, France.
Joseph BenzakounInstitute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, IMA-BRAIN, Université Paris Cité, 75014, Paris, France. j.benzakoun@ghu-paris.fr.ORCID http://orcid.org/0000-0002-0733-0104

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePost-mortem CT (PMCT) is valuable in mass fatality incidents for identification purposes. The aim of our study is to develop and evaluate the performance of “iml-scout”, a Deep Learning software for estimating age and sex from PMCT scout views. MATERIALS AND

methodsThis retrospective study included consecutive decedents with known age and sex who underwent PMCT from January 2015 to January 2024 (derivation cohort) and February to September 2024 (evaluation cohort). We trained “iml-scout” on 60% of the derivation cohort (training set) to estimate age and sex based on frontal and lateral scout views. Age confidence intervals (95%CI) were derived using quantile regression on the validation set (20% of derivation cohort). In the test set (20% of derivation cohort) and the evaluation cohort, we measured mean absolute error (MAE), concordance correlation coefficient (CCC), percentage of age estimations within the 95% CI, sex classification accuracy, and inference duration.

resultsThe derivation (n = 3008) and evaluation (n = 321) cohorts had median ages of 57 [IQR: 39–71] and 54 [34–70] years, respectively. In the test set (n = 602) and the evaluation cohort, MAE was 6.31 years (95%CI: 5.87–6.75) and 6.57 years (95%CI: 5.96–7.18), with CCC of 0.92 (95%CI: 0.90–0.93) in both. Age estimations were within the 95%CI for respectively 575/602 (95.5%) and 306/321 (95.3%) of cases. Sex classification accuracy was respectively 566/602 (94.0%) and 302/321 (94.1%). Mean inference time was 12.6 ± 0.87 s.

conclusionThe “iml-scout” software enables fast, accurate estimation of age and sex from PMCT scout views.

Indexed as

Age Determination by SkeletonDeep LearningSex Determination by SkeletonTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedPostmortem ImagingRetrospective StudiesSoftwareAlgorithmsArtificial IntelligenceForensic MedicineMass Casualty Incidents

Identifiers

PMID41862760

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.