ArticlePloS one2021
Age estimation based on 3D post-mortem computed tomography images of mandible and femur using convolutional neural networks.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches.International journal of legal medicine · 2023Pooled it
- Age estimation from pubic symphysis based on cinematic volume rendering: comparison between Suchey-Brooks staging and deep learning.International journal of legal medicine · 2026Article
- Age and sex estimation from Japanese femoral computed tomographic images using foundation models.International journal of legal medicine · 2026Article
- Age estimation through mandibular radiomic attributes in panoramic radiographs using convolutional neural networks.Imaging science in dentistry · 2026Article
- Computed tomography as a tool in the analysis of dentomaxillofacial characteristics for human identification: A bibliometric analysis of the most cited publications.Forensic science, medicine, and pathology · 2026Article
- Age and sex estimation using post-mortem CT scout view.International journal of legal medicine · 2026Article
- AI-driven differentiation of 2D proximal femur morphometry and hounsfield units for integrated forensic estimation of sex, stature, and age in a modern Thai dry bone sample.Anatomical science international · 2026Article
- Dental age estimation: a scoping review comparing the manual application of the Demirjian method and artificial intelligence modalities.International journal of legal medicine · 2026Article
- Development of an age estimation method for the coxal bone and lumbar vertebrae obtained from post-mortem computed tomography images using a convolutional neural network.International journal of legal medicine · 2026Article
- The current state of forensic imaging - perspectives.International journal of legal medicine · 2025Review
- Skull CT metadata for automatic bone age assessment by using three-dimensional deep learning framework.International journal of legal medicine · 2025Article
- Explainable deep learning for age and gender estimation in dental CBCT scans using attention mechanisms and multi task learning.Scientific reports · 2025Article
- A review of methods of age estimation based on postmortem computed tomography.Forensic sciences research · 2025Review
- Computed tomography study of cranial vault thickness in Malaysian subadult population.International journal of legal medicine · 2024Article
- Sex estimation using skull silhouette images from postmortem computed tomography by deep learning.Scientific reports · 2024Article
- Review
- Artificial intelligence in forensic medicine and forensic dentistry.The Journal of forensic odonto-stomatology · 2023Review
- Radiomics approach to the condylar head for legal age classification using cone-beam computed tomography: A pilot study.PloS one · 2023Article
- Preparing computed tomography images for machine learning in forensic and virtual anthropology.Forensic science international. Synergy · 2023Article
- Use of Advanced Artificial Intelligence in Forensic Medicine, Forensic Anthropology and Clinical Anatomy.Healthcare (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Age assessment has attracted increasing attention in the field of forensics. However, most existing works are laborious and requires domain-specific knowledge. Modern computing power makes it is possible to leverage massive amounts of data to produce more reliable results. Therefore, it is logical to use automated age estimation approaches to handle large datasets. In this study, a fully automated age prediction approach was proposed by assessing 3D mandible and femur scans using deep learning. A total of 814 post-mortem computed tomography scans from 619 men and 195 women, within the age range of 20-70, were collected from the National Forensic Service in South Korea. Multiple preprocessing steps were applied for each scan to normalize the image and perform intensity correction to create 3D voxels that represent these parts accurately. The accuracy of the proposed method was evaluated by 10-fold cross-validation. The initial cross-validation results illustrated the potential of the proposed method as it achieved a mean absolute error of 5.15 years with a concordance correlation coefficient of 0.80. The proposed approach is likely to be faster and potentially more reliable, which could be used for age assessment in the future.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.