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A deep learning approach for dental implant planning in cone-beam computed tomography images

BMC Medical Imaging 21(1) (2021)

Sevda Kurt Bayrakdar; Kaan Orhan; Ibrahim Sevki Bayrakdar; Elif Bilgir; Matvey Ezhov; Maxim Gusarev; Eugene Shumilov

Performance of a convolutional neural network algorithm for tooth detection and numbering on periapical radiographs

Dentomaxillofacial Radiology 51(3) (2022)

Cansu Görürgöz; Kaan Orhan; Ibrahim Sevki Bayrakdar; Özer Çelik; Elif Bilgir; Alper Odabaş; Ahmet Faruk Aslan; Rohan Jagtap

Radiographic modalities for diagnosis of caries in a historical perspective: from film to machine-intelligence supported systems

Dentomaxillofacial Radiology 50(5) (2021)

Ann Wenzel

Diagnostic accuracy of artificial intelligence versus dental experts in predicting endodontic outcomes: A systematic review

Saudi Endodontic Journal 14(2) (2024)

Sahil Choudhari; Sindhu Ramesh; Tanvi Deepak Shah; Kavalipurapu Venkata Teja

State-of-art technologies, challenges, and emerging trends of computer vision in dental images

Computers in Biology and Medicine 178 (2024)

J. Priya; S. Kanaga Suba Raja; S. Usha Kiruthika

Teeth segmentation by optical radiographic images using VGG-16 deep learning convolution architecture with R-CNN network approach for biomedical sensing applications

Optical and Quantum Electronics 55(9) (2023)

Mohammad Khursheed Alam; Tahsinul Haque; Fatema Akhter; Hamad Nasser Albagieh; Abdullah Bin Nabhan; May Ahmed Alsenani; Ayyanar Natesan; N. R. Ramanujam; Safiqul Islam

Applications of Artificial Intelligence in Dentistry

Artificial Intelligence in Dentistry (2023)

Prashant P. Jaju; Ibrahim Sevki Bayrakdar; Sushma Jaju; Vidhi Shah; Kaan Orhan; Rohan Jagtap

Accuracy of in vitro radiographs in determining the remaining dentin thickness below deep dentin caries in deciduous molars

Balkan Journal of Dental Medicine 24(3) (2020)

Akif Demirel; Olgu Demirci; Zeynep Ökte

OpenCitations

Diagnostic Efficacy of Artificial Intelligence Models for Predicting Endodontic Outcome – A Systematic Review and Meta-Analysis

Assessing the Efficacy of Artificial Intelligence Platforms in Answering Dental Caries Multiple-Choice Questions: A Comparative Study of ChatGPT and Google Gemini Language Models

Artificial Intelligence Applications in Oral Health Imaging

ARTIFICIAL INTELLIGENCE PLATFORMS IN DENTAL CARIES DETECTION: A SYSTEMATIC REVIEW AND META-ANALYSIS

Descriptive analysis of dental X-ray images using various practical methods: A review

Caries Detection in Non-standardized Periapical Dental X-Rays

Tooth numbering and classification on bitewing radiographs: an artificial intelligence pilot study

The local ternary pattern encoder–decoder neural network for dental image segmentation

Development and evaluation of deep learning for screening dental caries from oral photographs

Dental Images’ Segmentation Using Threshold Connected Component Analysis

The effect of a deep-learning tool on dentists’ performances in detecting apical radiolucencies on periapical radiographs

PROSPECTS OF AN AUTOMATED COMPUTER SOFTWARE IMPLEMENTATION FOR PREDICTION OF COURSE AND TREATMENT IN PATIENTS WITH DIFFERENT FORMS OF ODONTOGENIC MAXILLARY SINUSITIS

A primer and overview of the role of artificial intelligence in oral and maxillofacial radiology

Artificial intelligence applications in restorative dentistry: A systematic review

SUCCESS OF ARTIFICIAL INTELLIGENCE SYSTEM IN DETERMINING ALVEOLAR BONE LOSS FROM DENTAL PANORAMIC RADIOGRAPHY IMAGES

Unsupervised Caries Detection in Non-standardized Periapical Dental X-Rays

Artificial intelligence-powered dentistry: Probing the potential, challenges, and ethicality of artificial intelligence in dentistry

An artificial intelligence proposal to automatic teeth detection and numbering in dental bite-wing radiographs

Artificial intelligence in the detection and classification of dental caries

Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm

Inquisition on lesion identification based on clustering in periapical dental radiographs

Measurement Reliability of the Remaining Dentin Thickness below Deep Carious Lesions in Primary Molars

An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs

A deep learning approach for dental implant planning in cone-beam computed tomography images

Performance of a convolutional neural network algorithm for tooth detection and numbering on periapical radiographs

Radiographic modalities for diagnosis of caries in a historical perspective: from film to machine-intelligence supported systems

Diagnostic accuracy of artificial intelligence versus dental experts in predicting endodontic outcomes: A systematic review

State-of-art technologies, challenges, and emerging trends of computer vision in dental images

Teeth segmentation by optical radiographic images using VGG-16 deep learning convolution architecture with R-CNN network approach for biomedical sensing applications

Applications of Artificial Intelligence in Dentistry

Accuracy of in vitro radiographs in determining the remaining dentin thickness below deep dentin caries in deciduous molars

Evaluation of artificial intelligence for detecting impacted third molars on cone-beam computed tomography scans

Automatic Blob Detection for Dental Caries

The use of artificial intelligence in radiological diagnosis and detection of dental caries: a systematic review

Automatic Feature Segmentation in Dental Periapical Radiographs

Evaluation of artificial intelligence for detecting periapical pathosis on cone‐beam computed tomography scans