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Related Concept Videos

Teeth01:15

Teeth

445
The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
445

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Updated: Jul 11, 2025

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Forensic odontology in DVI-A path forward.

Robert E Wood1, Taylor Gardner1

  • 1Ontario Forensic Pathology Service and Office of the Chief Coroner for Ontario, Toronto, Ontario, Canada.

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|November 6, 2023
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Summary
This summary is machine-generated.

This study enhances disaster victim identification (DVI) by shifting from subjective dental assessments to objective data comparison. This improves accuracy and efficiency in identifying victims using dental records.

Keywords:
computed tomographydental radiologydisaster victim identificationforensic dental identificationforensic odontologyhuman identificationmultiple fatality incident

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Area of Science:

  • Forensic Odontology
  • Disaster Victim Identification (DVI)

Background:

  • Dental identification is a crucial, accurate, and legally accepted method in Disaster Victim Identification (DVI).
  • Current methods involve subjective comparison of antemortem (AM) and postmortem (PM) dental data, including restorations and anatomy.

Purpose of the Study:

  • To propose a shift in dental DVI from subjective interpretation to objective data-driven comparisons.
  • To highlight the benefits of minimizing subjective decisions and maximizing objective data in the dental DVI process.

Main Methods:

  • Evaluation and comparison of antemortem (AM) dental charts and radiographs with postmortem (PM) dental findings.
  • Utilizing dental restorative work, anatomical concordance, and spatial tooth relationships for identification.
  • Exploring computer algorithms for matching AM and PM data sets and age stratification in mass fatality incidents.

Main Results:

  • The paper advocates for a framework prioritizing objective data over subjective assessments for dental identification.
  • Proposed methods aim to reduce the number of clinicians required onsite, minimizing costs and personnel risk.

Conclusions:

  • Minimizing subjective decisions and maximizing objective data in dental DVI enhances accuracy and efficiency.
  • The proposed approach offers a more modern, cost-effective, and safer method for disaster victim identification.