Artificial intelligence in forensic odontology – A review

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Review Article

Author Details : Osama Ahmed*, Saleh Abdul Saleem, Aquib Ali Khan, Sana Daruwala, Anam Pettiwala

Volume : 11, Issue : 2, Year : 2023

Article Page : 54-60

https://doi.org/10.18231/j.idjsr.2023.012

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Abstract

Revolutionary advancements in dentistry have been brought about by robotic advancements that mimic the functions of the human brain. Over an extended period, both dental and medical documentation has undergone computerization, with cloud servers serving as reliable backups. These records have played a crucial role in identifying victims of major catastrophes such as the World Trade Centre disaster and the Indian Ocean tsunami. Often, in these cases, the bodies are severely damaged and unidentifiable, except for the remaining teeth and the resilient jawbone, which exhibit remarkable resistance to harsh conditions. These elements have proven to be vital in the process of identifying disaster victims. To conduct the present review, extensive online research was performed using databases such as Google Scholar, PubMed, Medline, and IEEE Xplore, up until December 2022.
 

Keywords: Forensic odontology, Artificial intelligence, Machine learning, Deep learning, Convolution neural network

How to cite : Ahmed O, Saleem S A, Khan A A, Daruwala S, Pettiwala A, Artificial intelligence in forensic odontology – A review. Int Dent J Stud Res 2023;11(2):54-60

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