Artificial intelligence in forensic odontology: A review


Review Article

Author Details : Rubeena Anjum, Ruchika Raj*, Pradakhshana Vijay, Nisha Lahoria, Priyanka Singh, Wajiha Khanam

Volume : 10, Issue : 3, Year : 2024

Article Page : 96-99

https://doi.org/10.18231/j.ijmi.2024.021



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Abstract

Artificial Intelligence (AI) is a technology that allows computers to replicate human behaviour and outperform human decision-making in solving complex tasks, either independently or with minimal human involvement. AI technologies, including machine learning and deep neural networks, significantly enhance the accuracy and efficiency of analyzing dental evidence, such as radiographs and bite marks, facilitating reliable identification of individuals, even in complex cases like mass disasters or decomposed remains. Additionally, AI aids in estimating age and determining sex by analyzing dental and skeletal features. The automation of image analysis tasks reduces human error and accelerates identification processes. Furthermore, AI supports the creation of 3D models for facial reconstruction, improving investigative efforts to visualize unidentified remains. Overall, the integration of AI in forensic odontology enhances investigative capabilities, providing valuable tools for law enforcement and contributing to the pursuit of justice. This review article explores the transformative role of Artificial Intelligence (AI) in forensic odontology, highlighting its applications in dental identification, age and sex estimation, bite mark analysis, facial reconstruction, and dental databases
 

Keywords: Artificial Intelligence, Forensic odontology, Machine learning, Deep neural networks.


How to cite : Anjum R, Raj R, Vijay P, Lahoria N, Singh P, Khanam W, Artificial intelligence in forensic odontology: A review. IP Int J Maxillofac Imaging 2024;10(3):96-99


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.







Article History

Received : 26-08-2024

Accepted : 23-09-2024


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https://doi.org/10.18231/j.ijmi.2024.021


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