AIMC Topic: Age Determination by Teeth

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Development of artificial intelligence-based algorithms for the process of human identification through dental evidence.

International journal of legal medicine Mar 6, 2025
INTRODUCTION: Forensic Odontology plays a crucial role in medicolegal identification by comparing dental evidence in antemortem (AM) and postmortem (PM) dental records, including orthopantomograms (OPGs). Due to the complexity and time-consuming natu...
Neural Networks, Computer Artificial Intelligence Algorithms Female Humans Young Adult Adult Male Adolescent Radiography, Panoramic Forensic Dentistry Age Determination by Teeth
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Comparison of different dental age estimation methods with deep learning: Willems, Cameriere-European, London Atlas.

International journal of legal medicine Feb 19, 2025
This study aimed to compare dental age estimates using Willems, Cameriere-Europe, London Atlas, and deep learning methods on panoramic radiographs of Turkish children. The dental ages of 1169 children (613 girls, 556 boys) who agreed to participate i...
Turkey Age Determination by Teeth Tooth Neural Networks, Computer Female Male Deep Learning Adolescent Child Bayes Theorem Radiography, Panoramic Humans
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Deep learning for forensic age estimation using orthopantomograms in children, adolescents, and young adults.

European radiology Jan 25, 2025
OBJECTIVES: Forensic age estimation from orthopantomograms (OPGs) can be performed more quickly and accurately using convolutional neural networks (CNNs), making them an ideal extension to standard forensic age estimation methods. This study evaluate...
Neural Networks, Computer Female Reproducibility of Results Young Adult Humans Child, Preschool Child Radiography, Panoramic Age Determination by Teeth Male Infant Deep Learning Adolescent
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Deep learning for age estimation from panoramic radiographs: A systematic review and meta-analysis.

Journal of dentistry Jan 16, 2025
INTRODUCTION: Panoramic radiographs are widely used for age estimation in clinical and forensic domains. Conventionally, age estimation uses humans assessing tooth development and deducing the expected age from that. Deep learning may improve or subs...
Humans Deep Learning Radiography, Panoramic Age Determination by Teeth
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Do machine learning methods solve the main pitfall of linear regression in dental age estimation?

Forensic science international Dec 20, 2024
INTRODUCTION: Age estimation is crucial in forensic and anthropological fields. Teeth, are valued for their resilience to environmental factors and their preservation over time, making them essential for age estimation when other skeletal remains det...
Linear Models Age Determination by Teeth Black People Bayes Theorem Radiography, Panoramic South Africa White People Humans Machine Learning Female Male Adolescent Child, Preschool Child Support Vector Machine
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DentAge: Deep learning for automated age prediction using panoramic dental X-ray images.

Journal of forensic sciences Sep 18, 2024
Age estimation plays a crucial role in various fields, including forensic science and anthropology. This study aims to develop and validate DentAge, a deep-learning model for automated age prediction using panoramic dental X-ray images. DentAge was t...
Humans Female Aged Aged, 80 and over Young Adult Adolescent Adult Forensic Dentistry Child, Preschool Male Datasets as Topic Child Middle Aged Age Determination by Teeth Radiography, Panoramic Deep Learning
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Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm.

BMC oral health Sep 3, 2024
BACKGROUND: This study aims to evaluate the performance of a deep learning system for the evaluation of tooth development stages on images obtained from panoramic radiographs from child patients.
Male Child Humans Deep Learning Neural Networks, Computer Radiography, Panoramic Adolescent Artificial Intelligence Age Determination by Teeth Child, Preschool Algorithms Tooth Female
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Estimation of human age using machine learning on panoramic radiographs for Brazilian patients.

Scientific reports Aug 24, 2024
This paper addresses a relevant problem in Forensic Sciences by integrating radiological techniques with advanced machine learning methodologies to create a non-invasive, efficient, and less examiner-dependent approach to age estimation. Our study in...
Child Radiography, Panoramic Age Determination by Teeth Middle Aged Brazil Adolescent Child, Preschool Aged, 80 and over Humans Young Adult Machine Learning Adult Female Male Aged
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Accuracy of automated forensic dental age estimation lab (F-DentEst Lab) on large Malaysian dataset.

Forensic science international Jul 15, 2024
When a disaster occurs, the authority must prioritise two things. First, the search and rescue of lives, and second, the identification and management of deceased individuals. However, with thousands of dead bodies to be individually identified in ma...
Adolescent Child Image Processing, Computer-Assisted Malaysia Neural Networks, Computer Humans Female Male Radiography, Panoramic Deep Learning Forensic Dentistry Datasets as Topic Age Determination by Teeth
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Machine learning assisted 5-part tooth segmentation method for CBCT-based dental age estimation in adults.

The Journal of forensic odonto-stomatology Apr 30, 2024
BACKGROUND: The utilization of segmentation method using volumetric data in adults dental age estimation (DAE) from cone-beam computed tomography (CBCT) was further expanded by using current 5-Part Tooth Segmentation (SG) method. Additionally, superv...
Cone-Beam Computed Tomography Young Adult Dentin Humans Support Vector Machine Machine Learning Linear Models Adult Dental Pulp Age Determination by Teeth Female Male Dental Enamel Middle Aged
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