Rathee, M. & Sapra, A. in Dental Caries (StatPearls Publishing, Treasure Island (FL), 2023).

Google Scholar 

Pan, Y.-C., Chan, H.-L., Kong, X., Hadjiiski, L. M. & Kripfgans, O. D. Multi-class deep learning segmentation and automated measurements in periodontal sonograms of a porcine model. Dentomaxillofacial Radiology 51, 20210363 (2022).

Article  PubMed  Google Scholar 

Rana, A. et al. Automated segmentation of gingival diseases from oral images. IEEE Healthcare Innovations 144–147 (2017).

Rimi, I. F. et al. Machine learning techniques for dental disease prediction. Iran J Comput Sci 5, 187–195 (2022).

Article  Google Scholar 

Felemban, O. M., Loo, C. Y. & Ramesh, A. Accuracy of cone-beam computed tomography and extraoral bitewings compared to intraoral bitewings in detection of interproximal caries. J Contemp Dent Pract 21, 1361–1367 (2020).

PubMed  Google Scholar 

Musri, N., Christie, B., Ichwan, S. J. A. & Cahyanto, A. Deep learning convolutional neural network algorithms for the early detection and diagnosis of dental caries on periapical radiographs: A systematic review. Imaging Sci Dent 51, 237–242 (2021).

Article  PubMed  PubMed Central  Google Scholar 

Prados-Privado, M., García Villalón, J., Martínez-Martínez, C. H., Ivorra, C. & Prados-Frutos, J. C. Dental Caries Diagnosis and Detection Using Neural Networks: A Systematic Review. J Clin Med 9, 3579 (2020).

Article  PubMed  PubMed Central  Google Scholar 

Mohammad-Rahimi, H. et al. Deep learning for caries detection: A systematic review. J Dent 122, 104115 (2022).

Article  PubMed  Google Scholar 

Reyes, L. T., Knorst, J. K., Ortiz, F. R. & Ardenghi, T. M. Machine Learning in the Diagnosis and Prognostic Prediction of Dental Caries: A Systematic Review. Caries Res 56, 161–170 (2022).

Article  PubMed  Google Scholar 

Morris, A. L. & Tadi, P. in Anatomy, Head and Neck, Teeth (StatPearls Publishing, Treasure Island (FL), 2022).

Google Scholar 

Marsh, P. D. Dental plaque as a microbial biofilm. Caries Res 38, 204–211 (2004).

Article  CAS  PubMed  Google Scholar 

Featherstone, J. D. The science and practice of caries prevention. J Am Dent Assoc 131, 887–899 (2000).

Article  CAS  PubMed  Google Scholar 

Braga, M. M., Mendes, F. M. & Ekstrand, K. R. Detection Activity Assessment and Diagnosis of Dental Caries Lesions. Dental Clinics 54, 479–493 (2010).

PubMed  Google Scholar 

White, S. C. & Pharoah, M. J. Oral radiology: Principles and interpretation (Elsevier Health Sciences, 2014).

Setzer, F. C., Hinckley, N., Kohli, M. R. & Karabucak, B. A Survey of Cone-beam Computed Tomographic Use among Endodontic Practitioners in the United States. J Endod 43, 699–704 (2017).

Article  PubMed  Google Scholar 

Wang, S. & Ford, B. Imaging in Oral and Maxillofacial Surgery. Dental Clinics 65, 487–507 (2021).

PubMed  Google Scholar 

Ikeuchi, K. Computer vision: A reference guide (Springer, 2021).

Guo, L. & Wenyuan, S. Salivary biomarkers for caries risk assessment. Journal of the California Dental Association 41, 107–118 (2013).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Page, M. J. et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ n71 (2021).

Bhan, A., Goyal, A., Harsh, Chauhan, N. & Wang, C.-W. Feature Line Profile Based Automatic Detection of Dental Caries in Bitewing Radiography. ICMETE 635–640 (2016).

Naebi, M. et al. Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm. Int J Dent 2016, 3264545 (2016).

Article  PubMed  PubMed Central  Google Scholar 

Sornam, M. & Prabhakaran, M. A new linear adaptive swarm intelligence approach using back propagation neural network for dental caries classification. ICPCSI 2698–2703 (2017).

Singh, P. & Sehgal, P. Automated caries detection based on Radon transformation and DCT. ICCCNT 1–6 (2017).

Lee, J.-H., Kim, D.-H., Jeong, S.-N. & Choi, S.-H. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm. J Dent 77, 106–111 (2018).

Article  PubMed  Google Scholar 

Patil, S., Kulkarni, V. & Bhise, A. Algorithmic analysis for dental caries detection using an adaptive neural network architecture. Heliyon 5, e01579 (2019).

Article  PubMed  PubMed Central  Google Scholar 

Datta, S., Chaki, N. & Modak, B. A Novel Technique to Detect Caries Lesion Using Isophote Concepts. IRBM 40, 174–182 (2019).

Article  Google Scholar 

Al Kheraif, A. A., Wahba, A. A. & Fouad, H. Detection of dental diseases from radiographic 2d dental image using hybrid graph-cut technique and convolutional neural network. Measurement 146, 333–342 (2019).

Verma, D., Puri, S., Prabhu, S. & Smriti, K. Anomaly detection in panoramic dental x-rays using a hybrid Deep Learning and Machine Learning approach. TENCON 263–268 (2020).

Lakshmi, M. M. & Chitra, P. Classification of Dental Cavities from X-ray images using Deep CNN algorithm. ICOEI 774–779 (2020).

Geetha, V., Aprameya, K. S. & Hinduja, D. M. Dental caries diagnosis in digital radiographs using back-propagation neural network. Health Inf Sci Syst 8, 8 (2020).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Jusman, Y. et al. Comparison of Dental Caries Level Images Classification Performance using KNN and SVM Methods 167–172 (2021).

Choudhary, A. et al. An Effective Approach for Classification of Dental Caries using Convolutional Neural Networks. SMART 204–209 (2021).

Lian, L., Zhu, T., Zhu, F. & Zhu, H. Deep Learning for Caries Detection and Classification. Diagnostics (Basel) 11, 1672 (2021).

Lee, S. et al. Deep learning for early dental caries detection in bitewing radiographs. Sci Rep 11, 16807 (2021).

Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

Ezhov, M. et al. Clinically applicable artificial intelligence system for dental diagnosis with CBCT. Sci Rep 11, 15006 (2021).

Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

Bayrakdar, I. S. et al. Deep-learning approach for caries detection and segmentation on dental bitewing radiographs. Oral Radiol 38, 468–479 (2022).

Article  PubMed  Google Scholar 

Moran, M. et al. Classification of Approximal Caries in Bitewing Radiographs Using Convolutional Neural Networks. Sensors (Basel) 21, 5192 (2021).

Mao, Y.-C. et al. Caries and Restoration Detection Using Bitewing Film Based on Transfer Learning with CNNs. Sensors 21, 4613 (2021).

Article  ADS  PubMed  PubMed Central  Google Scholar 

Vinayahalingam, S. et al. Classification of caries in third molars on panoramic radiographs using deep learning. Sci Rep 11, 12609 (2021).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Megalan Leo, L. & Kalapalatha Reddy, T. Learning compact and discriminative hybrid neural network for dental caries classification. Microprocessors and Microsystems 82, 103836 (2021).

Article  Google Scholar 

Khan, H. A. et al. Automated feature detection in dental periapical radiographs by using deep learning. Oral Surgery, Oral Medicine, Oral Pathology 131, 711–720 (2021).

Article  Google Scholar 

Evaluation of Convolutional Neural Network for Automatic Caries Detection in Digital Radiograph Panoramic on Small Dataset. ICoDSE.

Imak, A. et al. Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network. IEEE Access 10, 18320–18329 (2022).

Article  Google Scholar 

Jusman, Y., Widyaningrum, A. & Puspita, S. Algorithm of Caries Level Image Classification Using Multilayer Perceptron Based Texture Features. CyberneticsCom 168–173 (2022).

Jusman, Y., Widyaningrum, A., Tyassari, W., Puspita, S. & Saleh, E. Classification of Caries X-Ray Images using Multilayer Perceptron Models Based Shape Features. ICITDA 1–6 (2022).

Jayasinghe, H. et al. Effectiveness of Using Radiology Images and Mask R-CNN for Stomatology. ICAC 60–65 (2022).

Chen, X., Guo, J., Ye, J., Zhang, M. & Liang, Y. Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method. Caries Res 56, 455–463 (2022).

Article  CAS  PubMed  Google Scholar 

Liu, F. et al. Recognition of Digital Dental X-ray Images Using a Convolutional Neural Network. J Digit Imaging 36, 73–79 (2023).

Article  PubMed  Google Scholar 

Taleb, A. et al. Self-Supervised Learning Methods for Label-Efficient Dental Caries Classification. Diagnostics (Basel) 12, 1237 (2022).

Panyarak, W., Suttapak, W., Wantanajittikul, K., Charuakkra, A. & Prapayasatok, S. Assessment of YOLOv3 for caries detection in bitewing radiographs based on the ICCMS™radiographic scoring system. Clin Oral Investig (2022).

Kim, C., Jeong, H., Park, W. & Kim, D. Tooth-Related Disease Detection System Based on Panoramic Images and Optimization Through Automation: Development Study. JMIR Med Inform 10, e38640 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Zhu, H. et al. CariesNet: a deep learning approach for segmentation of multi-stage caries lesion from oral panoramic X-ray image. Neural Comput Appl 1–9 (2022).

Zhu, Y. et al. Faster-RCNN based intelligent detection and localization of dental caries. Displays 74, 102201 (2022).

Article  CAS  Google Scholar 

Li, S. et al. Artificial intelligence for caries and periapical periodontitis detection. Journal of Dentistry 122, 104107 (2022).

Article  PubMed  Google Scholar 

Panyarak, W., Wantanajittikul, K., Suttapak, W., Charuakkra, A. & Prapayasatok, S. Feasibility of deep learning for dental caries classification in bitewing radiographs based on the ICCMS™radiographic scoring system. Oral Surg Oral Med Oral Pathol Oral Radiol 135, 272–281 (2023).

Article  PubMed  Google Scholar 

Ying, S., Wang, B., Zhu, H., Liu, W. & Huang, F. Caries segmentation on tooth X-ray images with a deep network. Journal of Dentistry 119, 104076 (2022).

Article  PubMed  Google Scholar 

Ramana Kumari, A., Nagaraja Rao, S. & Ramana Reddy, P. Design of hybrid dental caries segmentation and caries detection with meta-heuristic-based ResneXt-RNN. Biomedical Signal Processing and Control 78, 103961 (2022).

Article  Google Scholar 

Vimalarani, G. & Ramachandraiah, U. Automatic diagnosis and detection of dental caries in bitewing radiographs using pervasive deep gradient based LeNet classifier model. Microprocessors and Microsystems 94, 104654 (2022).

Article  Google Scholar 

Oztekin, F. et al. An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images. Diagnostics 13, 226 (2023).

Article  PubMed  PubMed Central