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

Journal: Legal medicine (Tokyo, Japan)
Published Date:

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.

Authors

  • Sanjeev B Khanagar
    Preventive Dental Science Department, College of Dentistry, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia. Electronic address: khanagars@ksau-hs.edu.sa.
  • Satish Vishwanathaiah
    Department of Preventive Dental Sciences, Divison of Pedodontics, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
  • Sachin Naik
    Dental Biomaterials Research Chair, Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh 1143, Saudi Arabia.
  • Abdulaziz A Al-Kheraif
    Dental Biomaterials Research Chair, Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh 1143, Saudi Arabia.
  • Darshan Devang Divakar
    Dental Biomaterials Research Chair, Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh 1143, Saudi Arabia.
  • Sachin C Sarode
    Department of Oral and Maxillofacial Pathology, Dr. D.Y.Patil Dental College and Hospital, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune 411018, Maharashtra, India.
  • Shilpa Bhandi
    Department of Restorative Dental Sciences, Divison of Operative Dentistry, College of Dentistry, Jazan University, Saudi Arabia.
  • Shankargouda Patil
    College of Dental Medicine, Roseman University of Health Sciences, South Jordan, UT, United States.