Literature DB >> 33341601

Application and performance of artificial intelligence technology in forensic odontology - A systematic review.

Sanjeev B Khanagar1, Satish Vishwanathaiah2, Sachin Naik3, Abdulaziz A Al-Kheraif3, Darshan Devang Divakar3, Sachin C Sarode4, Shilpa Bhandi5, Shankargouda Patil6.   

Abstract

Forensic odontology (FO) mainly deals with the identification of the individual through the remains, which mainly includes teeth and jawbones. Artificial intelligence (AI) technology has proven to be a breakthrough in providing reliable information in decision making in forensic sciences. This systematic review aimed to report on the application and performance of AI technology in FO. The data was gathered through searching for the articles in the renowned search engines, which have been published between January 2000 - June 2020. QUADAS-2 was adopted for the risk of bias analysis of the included studies. AI technology has been widely applied in FO for identifying bite-marks, predicting mandibular morphology, gender determination, and age estimation. Most of these AI models are based on either artificial neural networks (ANNs) or convolutional neural networks (CNNs). The results of the studies are promising. Studies have reported that these models display accuracy and precision equivalent to that of the trained examiners. These models can be promising tools when identifying victims of mass disasters and as an additive aid in medico-legal situations.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  Artificial intelligence; Artificial neural networks; Convolutional neural networks; Deep learning; Forensic dentistry; Forensic odontology; Machine learning

Mesh:

Year:  2020        PMID: 33341601     DOI: 10.1016/j.legalmed.2020.101826

Source DB:  PubMed          Journal:  Leg Med (Tokyo)        ISSN: 1344-6223            Impact factor:   1.376


  5 in total

1.  Human Remains Identification Using Micro-CT, Chemometric and AI Methods in Forensic Experimental Reconstruction of Dental Patterns after Concentrated Sulphuric Acid Significant Impact.

Authors:  Andrej Thurzo; Viera Jančovičová; Miroslav Hain; Milan Thurzo; Bohuslav Novák; Helena Kosnáčová; Viera Lehotská; Ivan Varga; Peter Kováč; Norbert Moravanský
Journal:  Molecules       Date:  2022-06-23       Impact factor: 4.927

Review 2.  An Umbrella Review of the Evidence of Sex Determination Procedures in Forensic Dentistry.

Authors:  João Albernaz Neves; Nathalie Antunes-Ferreira; Vanessa Machado; João Botelho; Luís Proença; Alexandre Quintas; Ana Sintra Delgado; José João Mendes
Journal:  J Pers Med       Date:  2022-05-13

Review 3.  Artificial Intelligence in Dentistry: Past, Present, and Future.

Authors:  Paridhi Agrawal; Pradnya Nikhade
Journal:  Cureus       Date:  2022-07-28

4.  Automatic Classification System for Periapical Lesions in Cone-Beam Computed Tomography.

Authors:  Maria Alice Andrade Calazans; Felipe Alberto B S Ferreira; Maria de Lourdes Melo Guedes Alcoforado; Andrezza Dos Santos; Andréa Dos Anjos Pontual; Francisco Madeiro
Journal:  Sensors (Basel)       Date:  2022-08-28       Impact factor: 3.847

5.  A pilot study of an automated personal identification process: Applying machine learning to panoramic radiographs.

Authors:  Adrielly Garcia Ortiz; Gustavo Hermes Soares; Gabriela Cauduro da Rosa; Maria Gabriela Haye Biazevic; Edgard Michel-Crosato
Journal:  Imaging Sci Dent       Date:  2021-05-06
  5 in total

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