Using machine learning to determine age over 16 based on development of third molar and periodontal ligament of second molar.

ABSTRACT:

Background

Having a reliable and feasible method to estimate whether an individual has reached 16 years of age would greatly benefit forensic analysis. The study of age using dental information has matured recently. In addition, machine learning (ML) is gradually being applied for dental age estimation.

Aim

The purpose of this study was to evaluate the development of the third molar using the Demirjian method (Demirjian_3M), measure the development index of the third molar (I_3M) using the method by Cameriere, and assess the periodontal ligament development of the second molar (PL_2M). This study aimed to predict whether Chinese adolescents have reached the age of criminal responsibility (16 years) by combining the above measurements with ML tec

SUBMITTER: Shen S 

PROVIDER: S-EPMC10510268 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature