AIMC Topic: Age Determination by Teeth
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Artificial Intelligence as a Decision-Making Tool in Forensic Dentistry: A Pilot Study with I3M.
International journal of environmental research and public health
Mar 6, 2023
Expert determination of the third molar maturity index (I3M) constitutes one of the most common approaches for dental age estimation. This work aimed to investigate the technical feasibility of creating a decision-making tool based on I3M to support ...
Variational autoencoder-based estimation of chronological age and changes in morphological features of teeth.
Scientific reports
Jan 13, 2023
This study led to the development of a variational autoencoder (VAE) for estimating the chronological age of subjects using feature values extracted from their teeth. Further, it determined how given teeth images affected the estimation accuracy. The...
Accurate age classification using manual method and deep convolutional neural network based on orthopantomogram images.
International journal of legal medicine
Mar 4, 2021
Age estimation is an important challenge in many fields, including immigrant identification, legal requirements, and clinical treatments. Deep learning techniques have been applied for age estimation recently but lacking performance comparison betwee...
Age-group determination of living individuals using first molar images based on artificial intelligence.
Scientific reports
Jan 13, 2021
Dental age estimation of living individuals is difficult and challenging, and there is no consensus method in adults with permanent dentition. Thus, we aimed to provide an accurate and robust artificial intelligence (AI)-based diagnostic system for a...
Comparison of different machine learning approaches to predict dental age using Demirjian's staging approach.
International journal of legal medicine
Jan 7, 2021
CONTEXT: Dental age, one of the indicators of biological age, is inferred by radiological methods. Two of the most commonly used methods are using Demirjian's radiographic stages of permanent teeth excluding the third molar (Demirjian's and Willems' ...
Application and performance of artificial intelligence technology in forensic odontology - A systematic review.
Legal medicine (Tokyo, Japan)
Dec 10, 2020
Forensic odontology (FO) mainly deals with the identification of the individual through the remains, which mainly includes teeth and jawbones. Artificial intelligence (AI) technology has proven to be a breakthrough in providing reliable information i...
Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam-computed tomography by integrated deep learning and level set.
International journal of legal medicine
Nov 13, 2020
OBJECTIVES: To develop an automatic segmentation method to segment the pulp chamber of first molars from 3D cone-beam-computed tomography (CBCT) images, and to estimate ages by calculated pulp volumes.
Towards fully automated third molar development staging in panoramic radiographs.
International journal of legal medicine
Apr 1, 2020
Staging third molar development is commonly used for age assessment in sub-adults. Current staging techniques are, at most, semi-automated and rely on manual interactions prone to operator variability. The aim of this study was to fully automate the ...
Effect of Lower Third Molar Segmentations on Automated Tooth Development Staging using a Convolutional Neural Network.
Journal of forensic sciences
Sep 5, 2019
Staging third molar development is commonly used for age estimation in subadults. Automated developmental stage allocation to the mandibular left third molar in panoramic radiographs has been examined in a pilot study. This method used an AlexNet Dee...
An automated technique to stage lower third molar development on panoramic radiographs for age estimation: a pilot study.
The Journal of forensic odonto-stomatology
Dec 1, 2017
BACKGROUND: Automated methods to evaluate growth of hand and wrist bones on radiographs and magnetic resonance imaging have been developed. They can be applied to estimate age in children and subadults. Automated methods require the software to (1) r...
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