Evidence map›Paper›PMID 38087052›Full record

ArticleInternational journal of legal medicine2024

Artificial intelligence in the practice of forensic medicine: a scoping review.

Laurent Tournois, Victor Trousset, Didier Hatsch, Tania Delabarde, Bertrand Ludes, Thomas Lefèvre

Abstract readScoping Review
In one paragraph

Article in International journal of legal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  4. Observational
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  9. Literature reviews: typology and forensic applications.International journal of legal medicine · 2025
    Review
  10. Review
  11. Deep learning-based human gunshot wounds classification.International journal of legal medicine · 2025
    Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Laurent TournoisUniversité Paris Cité, CNRS UMR 8045, 75006, Paris, France. laurent.tournois@biosilicium.fr.ORCID http://orcid.org/0000-0001-7546-0173
Victor TroussetIRIS Institut de Recherche Interdisciplinaire Sur Les Enjeux Sociaux, UMR8156 CNRS - U997 Inserm - EHESS - Université Sorbonne Paris Nord, Paris, France.ORCID http://orcid.org/0000-0003-2184-9428
Didier HatschBioSilicium, Riom, France.ORCID http://orcid.org/0000-0002-2849-6082
Tania DelabardeUniversité Paris Cité, CNRS UMR 8045, 75006, Paris, France.ORCID http://orcid.org/0000-0001-6331-5526
Bertrand LudesUniversité Paris Cité, CNRS UMR 8045, 75006, Paris, France.ORCID http://orcid.org/0000-0002-2415-9708
Thomas LefèvreIRIS Institut de Recherche Interdisciplinaire Sur Les Enjeux Sociaux, UMR8156 CNRS - U997 Inserm - EHESS - Université Sorbonne Paris Nord, Paris, France.ORCID http://orcid.org/0000-0003-3038-479X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forensic medicine is a thriving application field for artificial intelligence (AI). Indeed, AI applications intended to forensic pathologists or forensic physicians have emerged since the last decade. For example, AI models were developed to help estimate the biological age of migrants or human remains. However, the uses of AI applications by forensic pathologists or physicians and their levels of integration in medicolegal practices are not well described yet. Therefore, a scoping review was conducted on PubMed, ScienceDirect, and Scopus databases. This review included articles that mention any AI application used by forensic pathologists or physicians in practice or any AI model applied in one expertise field of the forensic pathologist or physician. Articles in other languages than English or French or dealing mainly with complementary analyses handled by experts who are not forensic pathologists or physicians or with AI to analyze data for research purposes in forensic medicine were excluded from this review. All the relevant information was retrieved in each article from a grid analysis derived and adapted from the TRIPOD checklist. This review included 35 articles and revealed that AI applications are developed in thanatology and in clinical forensic medicine. However, those applications seem to mainly remain in research and development stages. Indeed, the use of AI applications by forensic pathologists or physicians is not actual due to issues discussed in this article. Finally, the integration of AI in daily medicolegal practice involves not only forensic pathologists or physicians but also legal professionals.

Indexed as

Artificial IntelligencePhysiciansDatabases, FactualForensic MedicineHumansPathologistsArtificial intelligenceForensic medicineForensic pathologistMedicolegal practiceRoutine

Identifiers

PMID38087052
PMCPMC11003914

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.