Development of artificial intelligence-based algorithms for the process of human identification through dental evidence.

Journal: International journal of legal medicine
Published Date: Mar 6, 2025

Abstract

INTRODUCTION: Forensic Odontology plays a crucial role in medicolegal identification by comparing dental evidence in antemortem (AM) and postmortem (PM) dental records, including orthopantomograms (OPGs). Due to the complexity and time-consuming nature of this process, imaging analysis optimization is an urgent matter. Convolutional neural networks (CNN) are promising artificial intelligence (AI) structures in Forensic Odontology for their efficiency and detail in image analysis, making them a valuable tool in medicolegal identification. Therefore, this study focused on the development of a CNN algorithm capable of comparing AM and PM dental evidence in OPGs for the medicolegal identification of unknown cadavers.

Authors

  • Cristiana Palmela Pereira
    Faculdade de Medicina Dentária, Universidade de Lisboa, Rua Professora Teresa Ambrósio, 1600-277, Lisbon, Portugal. cpereira@edu.ulisboa.pt.
  • Raquel Carvalho
    Faculdade de Medicina Dentária, Universidade de Lisboa, Rua Professora Teresa Ambrósio, 1600-277, Lisbon, Portugal.
  • Diana Augusto
    Grupo FORENSEMED, Centro UICOB, Faculdade de Medicina Dentária da Universidade de Lisboa. Cidade Universitária, Rua Professora Teresa Ambrósio, Lisboa, 1600-277, Portugal.
  • Tomás Almeida
    Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais 1, 1049-001, Lisbon, Portugal.
  • Alexandre P Francisco
  • Francisco Salvado E Silva
    Faculdade de Medicina, Universidade de Lisboa, Avenida Professor Egas Moniz, 1649‑028, Lisbon, Portugal.
  • Rui Santos
    Centro de Estatística e Aplicações Universidade de Lisbao, CEAUL, Faculdade de Ciências da Universidade de Lisboa no Bloco C6 - Piso 4, Lisboa, 1749-016, Portugal.

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