A Systematic Review: The Utilization of Artificial Intelligence in Forensic Odontology

The use of Artificial Intelligence (AI) in forensic odontology signifies a significant change, with the potential to improve the precision, effectiveness, and dependability of forensic investigations mostly focused on teeth and jawbones. This systematic review seeks to summarize the present state of AI applications in forensic odontology. It will analyze research conducted up to 2023 to assess the methods used, the results obtained, and the potential future developments in this field. By conducting a thorough and systematic search across well-known databases, employing specific keywords associated with artificial intelligence and forensic odontology, we successfully located pertinent papers that specifically address estimating age, determining gender, and detecting mandibular third molars. The results of our research indicate a growing interest in utilizing deep learning models, specifically convolutional neural networks, for the analysis of dental images and the automated interpretation of dental characteristics. These models surpass traditional methods by enabling quicker and more precise forensic examinations. In conclusion, AI has the ability to greatly transform forensic odontology by improving the accuracy of diagnoses and increasing operational efficiency. These models have the potential to be effective tools for identifying victims of large disasters and can provide valuable assistance in medico-legal scenarios.

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Publication Details

Published
2024-10-09
DOI
https://doi.org/10.1109/ic3ina64086.2024.10732863
Citations
1
Primary Topic
Autopsy Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
0.40
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A Systematic Review: The Utilization of Artificial Intelligence in Forensic Odontology

Jemie Muliadi, Muhamad Rodhi Supriyadi, Azurah A. Samah, Hairudin Abdul Majid
1 citations
Autopsy Techniques and Outcomes
0.40
article

A Systematic Review: The Utilization of Artificial Intelligence in Forensic Odontology

Jemie Muliadi, Muhamad Rodhi Supriyadi, Azurah A. Samah, Hairudin Abdul Majid
article en
1 citations

Abstract

The use of Artificial Intelligence (AI) in forensic odontology signifies a significant change, with the potential to improve the precision, effectiveness, and dependability of forensic investigations mostly focused on teeth and jawbones. This systematic review seeks to summarize the present state of AI applications in forensic odontology. It will analyze research conducted up to 2023 to assess the methods used, the results obtained, and the potential future developments in this field. By conducting a thorough and systematic search across well-known databases, employing specific keywords associated with artificial intelligence and forensic odontology, we successfully located pertinent papers that specifically address estimating age, determining gender, and detecting mandibular third molars. The results of our research indicate a growing interest in utilizing deep learning models, specifically convolutional neural networks, for the analysis of dental images and the automated interpretation of dental characteristics. These models surpass traditional methods by enabling quicker and more precise forensic examinations. In conclusion, AI has the ability to greatly transform forensic odontology by improving the accuracy of diagnoses and increasing operational efficiency. These models have the potential to be effective tools for identifying victims of large disasters and can provide valuable assistance in medico-legal scenarios.

National Research and Innovation Agency (ID), University of Technology Malaysia (MY)
Openalex Percentile: Top 33%
Autopsy Techniques and Outcomes
0.40
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