Studies
Primary studies
26,293 studies included by 1,022 non-Cochrane dental reviews extracted from full text, one record per study, so a study included by several reviews is counted once. Most are randomized trials; etiology and diagnostic reviews also include observational and accuracy studies. Cochrane reviews and reviews with only their headline outcomes do not list their included studies here yet.
ReviewStudies included by Artificial Intelligence in Pediatric Dentistry: A Systematic Review and Meta-Analysis.. Show all studies
| Study | Year | Reviews | Review outcomes linked | Trial data |
|---|---|---|---|---|
| Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm. Kurt 2024 · Kurt Ayça, Günaçar Dilara Nil, et al. · BMC oral health PMID:39227802 | 2024 | 2 | 2 | not extracted yet |
| Early Childhood Predictors for Dental Caries: A Machine Learning Approach. Toledo Reyes (2023) · Toledo Reyes L, Knorst J K, et al. · Journal of dental research PMID:37246832 | 2023 | 2 | 1 | not extracted yet |
| Prediction model for early childhood caries risk based on behavioral determinants using a machine learning algorithm Qu 2022 · Qu Xing, Zhang Chao, et al. · Computer Methods and Programs in Biomedicine DOI:10.1016/j.cmpb.2022.107221 | 2022 | 2 | 1 | not extracted yet |
| Prediction model for early childhood caries risk based on behavioral determinants using a machine learning algorithm. Qu (2022) · Qu Xing, Zhang Chao, et al. · Computer methods and programs in biomedicine PMID:36384058 | 2022 | 2 | 2 | not extracted yet |
| Oral Microbiota Composition Predicts Early Childhood Caries Onset. Grier 2020 · Grier A, Myers J A, et al. · Journal of dental research PMID:33356775 | 2021 | 2 | 1 | not extracted yet |
| Prediction Models of Early Childhood Caries Based on Machine Learning Algorithms. Park 2021 · Park You-Hyun, Kim Sung-Hwa, et al. · International journal of environmental research and public health PMID:34444368 | 2021 | 2 | 1 | not extracted yet |
| End-to-end CNN-based detection of permanent first molars and prediction of root development stages from panoramic radiographs Kayaci 2025 · Kayaci Sukriye Turkoglu, Ilhan Hamza Osman, et al. · Scientific Reports DOI:10.1038/s41598-025-22707-7 | 2025 | 1 | none stated | not extracted yet |
| End-to-end CNN-based detection of permanent first molars and prediction of root development stages from panoramic radiographs. Kayaci 2025 · Kayaci Sukriye Turkoglu, Ilhan Hamza Osman, et al. · Scientific reports PMID:41193653 | 2025 | 1 | none stated | not extracted yet |
| Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm Kurt 2024 · Kurt Ayça, Günaçar Dilara Nil, et al. · BMC Oral Health DOI:10.1186/s12903-024-04786-6 | 2024 | 1 | none stated | not extracted yet |
| Prediction of Future Caries in 1-Year-Old Children via the Salivary Microbiome Raksakmanut 2023 · Raksakmanut R., Thanyasrisung P., et al. · Journal of Dental Research DOI:10.1177/00220345231152802 | 2023 | 1 | none stated | not extracted yet |
| Early Childhood Predictors for Dental Caries: A Machine Learning Approach Toledo Reyes 2023 · Toledo Reyes L., Knorst J.K., et al. · Journal of Dental Research DOI:10.1177/00220345231170535 | 2023 | 1 | none stated | not extracted yet |
| Prediction of Future Caries in 1-Year-Old Children via the Salivary Microbiome. Raksakmanut 2023 · Raksakmanut R, Thanyasrisung P, et al. · Journal of dental research PMID:36919874 | 2023 | 1 | 1 | not extracted yet |
| Artificial intelligence system for training diagnosis and differentiation with molar incisor hypomineralization (MIH) and similar pathologies Alevizakos 2022 · Alevizakos Vasilios, Bekes Katrin, et al. · Clinical Oral Investigations DOI:10.1007/s00784-022-04646-z | 2022 | 1 | none stated | not extracted yet |
| Detecting the presence of supernumerary teeth during the early mixed dentition stage using deep learning algorithms: A pilot study Mine 2022 · Mine Yuichi, Iwamoto Yuko, et al. · International Journal of Paediatric Dentistry DOI:10.1111/ipd.12946 | 2022 | 1 | none stated | not extracted yet |
| Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children Kim 2022 · Kim Jihoon, Hwang Jae Joon, et al. · Dentomaxillofacial Radiology DOI:10.1259/dmfr.20210528 | 2022 | 1 | none stated | not extracted yet |
| Artificial intelligence-powered smartphone application, AICaries, improves at-home dental caries screening in children: Moderated and unmoderated… Al-Jallad 2022 · Al-Jallad Nisreen, Ly-Mapes Oriana, et al. · PLOS Digital Health DOI:10.1371/journal.pdig.0000046 | 2022 | 1 | none stated | not extracted yet |
| Detecting the presence of supernumerary teeth during the early mixed dentition stage using deep learning algorithms: A pilot study. Mine 2022 · Mine Yuichi, Iwamoto Yuko, et al. · International journal of paediatric dentistry PMID:34904304 | 2022 | 1 | none stated | not extracted yet |
| Deep Learning Neural Modelling as a Precise Method in the Assessment of the Chronological Age of Children and Adolescents Using Tooth and Bone… Zaborowicz 2022 · Zaborowicz Maciej, Zaborowicz Katarzyna, et al. · Sensors (Basel, Switzerland) PMID:35062599 | 2022 | 1 | none stated | not extracted yet |
| Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children. Kim 2022 · Kim Jihoon, Hwang Jae Joon, et al. · Dento maxillo facial radiology PMID:35731733 | 2022 | 1 | none stated | not extracted yet |
| Artificial intelligence system for training diagnosis and differentiation with molar incisor hypomineralization (MIH) and similar pathologies. Alevizakos 2022 · Alevizakos Vasilios, Bekes Katrin, et al. · Clinical oral investigations PMID:36065023 | 2022 | 1 | none stated | not extracted yet |
| A deep learning approach to permanent tooth germ detection on pediatric panoramic radiographs. Kaya 2022 · Kaya Emine, Gunec Huseyin Gurkan, et al. · Imaging science in dentistry PMID:36238699 | 2022 | 1 | none stated | not extracted yet |
| Artificial intelligence-powered smartphone application, AICaries, improves at-home dental caries screening in children: Moderated and unmoderated… Al-Jallad 2022 · Al-Jallad Nisreen, Ly-Mapes Oriana, et al. · PLOS digital health PMID:36381137 | 2022 | 1 | 1 | not extracted yet |
| Automatic detection of mesiodens on panoramic radiographs using artificial intelligence Ha 2021 · Ha Eun-Gyu, Jeon Kug Jin, et al. · Scientific Reports DOI:10.1038/s41598-021-02571-x | 2021 | 1 | none stated | not extracted yet |
| The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries Zhang 2021 · Zhang Ying, Huang Shi, et al. · Journal of Oral Microbiology DOI:10.1080/20002297.2021.1921486 | 2021 | 1 | none stated | not extracted yet |
| Metabolomics Insights in Early Childhood Caries Heimisdottir 2021 · Heimisdottir L.H., Lin B.M., et al. · Journal of Dental Research DOI:10.1177/0022034520982963 | 2021 | 1 | none stated | not extracted yet |
| Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs Kilic 2021 · Kılıc Münevver Coruh, Bayrakdar Ibrahim Sevki, et al. · Dentomaxillofacial Radiology DOI:10.1259/dmfr.20200172 | 2021 | 1 | none stated | not extracted yet |
| Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms Gajic 2021 · Gajic Milica, Vojinovic Jovan, et al. · Children DOI:10.3390/children8121156 | 2021 | 1 | none stated | not extracted yet |
| Prediction of Early Childhood Caries Based on Single Nucleotide Polymorphisms Using Neural Networks Zaorska 2021 · Zaorska Katarzyna, Szczapa Tomasz, et al. · Genes DOI:10.3390/genes12040462 | 2021 | 1 | none stated | not extracted yet |
| Metabolomics Insights in Early Childhood Caries. Heimisdottir 2021 · Heimisdottir L H, Lin B M, et al. · Journal of dental research PMID:33423574 | 2021 | 1 | 1 | not extracted yet |
| Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs. Kilic 2021 · Kılıc Münevver Coruh, Bayrakdar Ibrahim Sevki, et al. · Dento maxillo facial radiology PMID:33661699 | 2021 | 1 | none stated | not extracted yet |
| Prediction of Early Childhood Caries Based on Single Nucleotide Polymorphisms Using Neural Networks. Zaorska 2021 · Zaorska Katarzyna, Szczapa Tomasz, et al. · Genes PMID:33805090 | 2021 | 1 | 1 | not extracted yet |
| The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries. Zhang 2021 · Zhang Ying, Huang Shi, et al. · Journal of oral microbiology PMID:34035879 | 2021 | 1 | 1 | not extracted yet |
| An Automated Machine Learning Classifier for Early Childhood Caries. Karhade 2021 · Karhade Deepti S, Roach Jeff, et al. · Pediatric dentistry PMID:34172112 | 2021 | 1 | none stated | not extracted yet |
| Tooth and Bone Parameters in the Assessment of the Chronological Age of Children and Adolescents Using Neural Modelling Methods. Zaborowicz 2021 · Zaborowicz Katarzyna, Biedziak Barbara, et al. · Sensors (Basel, Switzerland) PMID:34577221 | 2021 | 1 | none stated | not extracted yet |
| Automatic detection of mesiodens on panoramic radiographs using artificial intelligence. Ha 2021 · Ha Eun-Gyu, Jeon Kug Jin, et al. · Scientific reports PMID:34845320 | 2021 | 1 | none stated | not extracted yet |
| [Development of a deep learning based prototype artificial intelligence system for the detection of dental caries in children]. Li 2021 · Li R Z, Zhu J X, et al. · Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology PMID:34915661 | 2021 | 1 | 1 | not extracted yet |
| Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms. Gajic 2021 · Gajic Milica, Vojinovic Jovan, et al. · Children (Basel, Switzerland) PMID:34943352 | 2021 | 1 | none stated | not extracted yet |
| Dental age estimation of Malaysian Chinese children and adolescents: Chaillet and Demirjian’s method revisited using artificial multilayer perceptron… Bunyarit 2020 · Bunyarit Safar Sumit, Jayaraman Jayakumar, et al. · Australian Journal of Forensic Sciences DOI:10.1080/00450618.2019.1567810 | 2019 | 1 | none stated | not extracted yet |
| Li 2021 DOI:10.3760/cma.j.cn112144-20210712-00323 | NR | 1 | none stated | not extracted yet |