Computerized Dental Comparison: A Critical Review of Dental Coding and Ranking Algorithms Used in Victim...

Area of Science:

• Forensic Odontology
• Computer Science
• Disaster Victim Identification

Background:

• Dental record comparison is crucial for victim identification, especially in mass casualty incidents.
• Computer software can expedite this identification process by generating ranked match lists.
• Current systems, like WinID3, use complex coding and sorting algorithms.

Purpose of the Study:

• To compare the efficacy of a simplified dental coding system with an optimized sorting algorithm against conventional methods.
• To evaluate performance across a large-scale database of dental records.

Main Methods:

• Developed a simplified coding system with seven basic codes.
• Created a large reference database of approximately 50,000 antemortem and postmortem dental records.
• Compared the simplified system's performance against the commonly used WinID3 software.

Main Results:

• The simplified coding system with the optimized algorithm generally outperformed WinID3 in most disaster scenarios.
• The simplified system demonstrated superior efficiency and accuracy for typical disaster victim identification.
• WinID3 showed better performance only with extremely large datasets or significant body fragmentation.

Conclusions:

• A simplified dental coding system and optimized algorithm offer a more efficient and effective approach for victim identification in most mass disaster situations.
• This simplified method enhances the speed and accuracy of forensic odontology casework.
• Further research may explore hybrid approaches for complex scenarios involving extensive fragmentation or massive record volumes.