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Machine learning assisted Cameriere method for dental age estimation

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References

2001Dental Age Estimation in Belgian Children: Demirjian's Technique Revisited610 cited
2009Forensic age estimation in human skeletal remains: Current concepts and future directions328 cited
2006Age estimation300 cited
2006Environmental effects on skeletal versus dental development: Using a documented subadult skeletal sample to test a basic assumption in human osteological research209 cited
2010Accuracy of Cameriere, Haavikko, and Willems radiographic methods on age estimation on Bosnian–Herzegovian children age groups 6–13160 cited
2020Deep Neural Networks for Chronological Age Estimation From OPG Images159 cited
2007Age estimation in children by measurement of open apices in teeth: a European formula155 cited
2010Age estimation in children by measurement of open apices in teeth: an Indian formula152 cited
2019Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis151 cited
2014Reliability and validity of five radiographic dental‐age estimation methods in a population of Malaysian children96 cited
2011Assessment of dental maturity of children aged 3.5 to 13.5 years using the Demirjian method in an Iranian population91 cited
2021Comparison of different machine learning approaches to predict dental age using Demirjian’s staging approach80 cited
2010Environmental effects on skeletal versus dental development II: Further testing of a basic assumption in human osteological research

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79 cited

2012Age estimation in children by measurement of open apices in tooth roots: Study of a Mexican sample75 cited

2014Dental age assessment in 7–14-year-old Chinese children: Comparison of Demirjian and Willems methods70 cited

2015The reliability of Cameriere's method in Turkish children: A preliminary report68 cited

Cited by

2023The Accuracy of Sex Identification Using CBCT Morphometric Measurements of the Mandible, with Different Machine-Learning Algorithms—A Retrospective Study39 cited
2025Deep learning for age estimation from panoramic radiographs: A systematic review and meta-analysis32 cited
2023Applying artificial intelligence to determination of legal age of majority from radiographic data29 cited
2024Performance of Artificial Intelligence Models Designed for Automated Estimation of Age Using Dento-Maxillofacial Radiographs—A Systematic Review29 cited
2023Validation of data mining models by comparing with conventional methods for dental age estimation in Korean juveniles and young adults26 cited
2023Application of entire dental panorama image data in artificial intelligence model for age estimation25 cited
2024Estimation of human age using machine learning on panoramic radiographs for Brazilian patients24 cited
2022Boosting algorithm improves the accuracy of juvenile forensic dental age estimation in southern China population24 cited
2024Binary decisions of artificial intelligence to classify third molar development around the legal age thresholds of 14, 16 and 18 years22 cited
2024Efficacy of the methods of age determination using artificial intelligence in panoramic radiographs — a systematic review21 cited
2022Evaluation of a machine learning algorithms for predicting the dental age of adolescent based on different preprocessing methods20 cited
2023Artificial Intelligence as a Decision-Making Tool in Forensic Dentistry: A Pilot Study with I3M19 cited
2023Machine learning and deep learning enabled age estimation on medial clavicle CT images19 cited
2024Do machine learning methods solve the main pitfall of linear regression in dental age estimation?16 cited
2025Comparison of different dental age estimation methods with deep learning: Willems, Cameriere-European, London Atlas16 cited
2023Age determination on panoramic radiographs using the Kvaal method with the aid of artificial intelligence16 cited