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

Journal: International journal of legal medicine
Published Date:

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.

Authors

  • Laurent Tournois
    Université Paris Cité, CNRS UMR 8045, 75006, Paris, France. laurent.tournois@biosilicium.fr.
  • Victor Trousset
    IRIS Institut de Recherche Interdisciplinaire Sur Les Enjeux Sociaux, UMR8156 CNRS - U997 Inserm - EHESS - Université Sorbonne Paris Nord, Paris, France.
  • Didier Hatsch
    BioSilicium, Riom, France.
  • Tania Delabarde
    Université Paris Cité, CNRS UMR 8045, 75006, Paris, France.
  • Bertrand Ludes
    Université Paris Cité, CNRS UMR 8045, 75006, Paris, France.
  • Thomas Lefèvre
    Hôpital Jean-Verdier (AP-HP), Department of Forensic Science and Medicine, F-93140 Bondy, France; IRIS - Institut de recherches interdisciplinaires sur les enjeux sociaux (UMR 8156-723), Bobigny, France. Electronic address: thomas.lefevre@univ-paris13.fr.