SynthesisInternational journal of legal medicine2023
A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches.
Synthesis in International journal of legal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
45 citing papers in PubMed.
- Validation of Cameriere's third molar maturity index (I3M) for forensic age estimation in a Moroccan population: a cross-sectional study.Forensic science, medicine, and pathology · 2026Article
- Application of a novel age estimation model based on permanent maxillary canine morphometric features in a Japanese population.Oral radiology · 2026Article
- Age estimation through mandibular radiomic attributes in panoramic radiographs using convolutional neural networks.Imaging science in dentistry · 2026Article
- Multi-task learning for forensic age and sex estimation using large foundation models on pelvic radiographs: a multi-center study.International journal of legal medicine · 2026Article
- Does increased staging complexity influence expert agreement in dental age estimation?International journal of legal medicine · 2026Article
- Hybrid approach with convolutional neural network and regression models for age estimation in panoramic radiographs.International journal of legal medicine · 2026Article
- Dental age assessment: orthopantomogram-based comparison of traditional methods and artificial intelligence in the adult population.International journal of legal medicine · 2026Article
- Testing the accuracy of Cameriere's original and European formulae radiographic method of dental age estimation.International journal of legal medicine · 2026Article
- Accuracy of third molar eruption for legal age estimation using the Gambier method in Lebanese subadults.Odontology · 2026Article
- Multi-view deep fusion for forensic dental age estimation in tomographic imaging.International journal of legal medicine · 2026Article
- Automated Dental Age Estimation from Panoramic Radiographs using an Interpretable Deep Learning Model.International journal of legal medicine · 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
- The evolution of age estimation methods in forensic odontology: a bibliometric analysis from 2002 to 2024.International journal of legal medicine · 2026Article
- Assessing observer-dependent dental age estimation procedures: intra- and inter-observer reliability across four well established radiographic systems for dental analysis.International journal of legal medicine · 2026Article
- Correlation of chronological, skeletal and dental (Demirjian method) ages in an Iranian growing orthodontic population - a cross-sectional study.Scientific reports · 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
- Radiographic legal age estimation based on third molar development using Machine-learning algorithms.PloS one · 2026Article
- Neural Network Technologies for Age Estimation in Children from Orthopantomograms (a Pilot Study).Sovremennye tekhnologii v meditsine · 2026Article
- End-to-end vs. human-defined feature extraction: comparing deep learning approaches for age classification using mandibular third molars.The Journal of forensic odonto-stomatology · 2025Article
- Deep learning-based method for estimating age from periapical radiographs of upper incisors in a Thai population.Imaging science in dentistry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
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 application of chronological age estimation methods from dental X-ray images in the last 6 years, involving a search for works in the Scopus and PubMed databases. Exclusion criteria were applied to discard off-topic studies and experiments which are not compliant with a minimum quality standard. The studies were grouped according to the applied methodology, the estimation target, and the age cohort used to evaluate the estimation performance. A set of performance metrics was used to ensure good comparability between the different proposed methodologies. A total of 613 unique studies were retrieved, of which 286 were selected according to the inclusion criteria. Notable tendencies to overestimation and underestimation were observed in some manual approaches for numeric age estimation, being especially notable in the case of Demirjian (overestimation) and Cameriere (underestimation). On the other hand, the automatic approaches based on deep learning techniques are scarcer, with only 17 studies published in this regard, but they showed a more balanced behaviour, with no tendency to overestimation or underestimation. From the analysis of the results, it can be concluded that traditional methods have been evaluated in a wide variety of population samples, ensuring good applicability in different ethnicities. On the other hand, fully automated methods were a turning point in terms of performance, cost, and adaptability to new populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.