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https://doi.org/10.5772/intech...
Part of book or chapter of book . 2025 . Peer-reviewed
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Forensic Dentistry

Authors: Nihal Yetimoğlu;

Forensic Dentistry

Abstract

In forensic science, forensic dentistry has become a crucial component that helps identify deceased people who cannot be identified visually or through other means. Dental records are inspected and assessed before presentation in the interest of justice and the law. Identification is difficult in medicolegal cases where people’s responses are erroneous or misleading, making it difficult to draw the correct conclusions. Digital forensics has replaced traditional forensic investigations in acquiring, analyzing, and reporting forensic evidence. A definition of digital forensics might be “the use of computer science and investigative techniques for a legal purpose involving the analysis of digital evidence.” Traditional written dental records are subject to subjectivity in their creation and analysis, which leaves them open to mistakes and omissions when identifying unidentified bodies. The authors recommend digitizing and standardizing dental records to improve the dependability of these analog techniques. A machine’s ability to mimic human intelligence and behavior to carry out particular tasks is known as artificial intelligence (AI). AI has advanced rapidly in recent years and could be helpful for efficient forensic dental identification.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid