AIMC Topic: Age Determination by Teeth
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Fully automated deep learning approach to dental development assessment in panoramic radiographs.
BMC oral health
Apr 6, 2024
BACKGROUND: Dental development assessment is an important factor in dental age estimation and dental maturity evaluation. This study aimed to develop and evaluate the performance of an automated dental development staging system based on Demirjian's ...
Dental age estimation: A comparative study of convolutional neural network and Demirjian's method.
Journal of forensic and legal medicine
Mar 21, 2024
The aim of this study is to compare a technique using Convolutional Neural Network (CNN) with the Demirjian's method for chronological age estimation of living individuals based on tooth age from panoramic radiographs. This research used 5898 panoram...
Automatic and robust estimation of sex and chronological age from panoramic radiographs using a multi-task deep learning network: a study on a South Korean population.
International journal of legal medicine
Mar 12, 2024
Sex and chronological age estimation are crucial in forensic investigations and research on individual identification. Although manual methods for sex and age estimation have been proposed, these processes are labor-intensive, time-consuming, and err...
Efficacy of the methods of age determination using artificial intelligence in panoramic radiographs - a systematic review.
International journal of legal medicine
Feb 24, 2024
The aim of this systematic review is to analyze the literature to determine whether the methods of artificial intelligence are effective in determining age in panoramic radiographs. Searches without language and year limits were conducted in PubMed/M...
Information fusion for infant age estimation from deciduous teeth using machine learning.
American journal of biological anthropology
Feb 24, 2024
OBJECTIVES: Over the past few years, several methods have been proposed to improve the accuracy of age estimation in infants with a focus on dental development as a reliable marker. However, traditional approaches have limitations in efficiently comb...
Automatic dental age calculation from panoramic radiographs using deep learning: a two-stage approach with object detection and image classification.
BMC oral health
Jan 31, 2024
BACKGROUND: Dental age is crucial for treatment planning in pediatric and orthodontic dentistry. Dental age calculation methods can be categorized into morphological, biochemical, and radiological methods. Radiological methods are commonly used becau...
OPG-based dental age estimation using a data-technical exploration of deep learning techniques.
Journal of forensic sciences
Jan 30, 2024
Dental age estimation, a cornerstone in forensic age assessment, has been extensively tried and tested, yet manual methods are impeded by tedium and interobserver variability. Automated approaches using deep transfer learning encounter challenges lik...
Resolving the non-uniformity in the feature space of age estimation: A deep learning model based on feature clusters of panoramic images.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jan 15, 2024
Age estimation is important in forensics, and numerous techniques have been investigated to estimate age based on various parts of the body. Among them, dental tissue is considered reliable for estimating age as it is less influenced by external fact...
A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches.
International journal of legal medicine
Apr 14, 2023
Dental radiographies have been used for many decades for estimating the chronological age, with a view to forensic identification, migration flow control, or assessment of dental development, among others. This study aims to analyse the current appli...
Age determination on panoramic radiographs using the Kvaal method with the aid of artificial intelligence.
Dento maxillo facial radiology
Mar 29, 2023
OBJECTIVES: This study aimed to assess and compare age estimation on panoramic radiography using the Kvaal method and machine learning (ML).
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