A comprehensive review of recent advances in artificial intelligence for dentistry e-health
Artificial intelligence has made substantial progress in medicine. Automated dental imaging
interpretation is one of the most prolific areas of research using AI. X-ray and infrared …
interpretation is one of the most prolific areas of research using AI. X-ray and infrared …
[HTML][HTML] Artificial intelligence in forensic medicine and forensic dentistry
This review article aims to highlight the current possibilities for applying Artificial Intelligence
in modern forensic medicine and forensic dentistry and present the advantages and …
in modern forensic medicine and forensic dentistry and present the advantages and …
[HTML][HTML] Automated chart filing on panoramic radiographs using deep learning
S Vinayahalingam, R Goey, S Kempers, J Schoep… - Journal of Dentistry, 2021 - Elsevier
Objective The aim of this study is to automatically detect, segment and label teeth, crowns,
fillings, root canal fillings, implants and root remnants on panoramic radiographs (PR (s)) …
fillings, root canal fillings, implants and root remnants on panoramic radiographs (PR (s)) …
[HTML][HTML] A comprehensive survey of deep learning algorithms and applications in dental radiograph analysis
The Integration of machine learning and traditional image processing in dentistry has
resulted in many applications like automatic teeth identification and numbering, caries …
resulted in many applications like automatic teeth identification and numbering, caries …
A comprehensive artificial intelligence framework for dental diagnosis and charting
Background The aim of this study was to develop artificial intelligence (AI) guided framework
to recognize tooth numbers in panoramic and intraoral radiographs (periapical and …
to recognize tooth numbers in panoramic and intraoral radiographs (periapical and …
[HTML][HTML] Numbering teeth in panoramic images: A novel method based on deep learning and heuristic algorithm
A Karaoglu, C Ozcan, A Pekince, Y Yasa - Engineering Science and …, 2023 - Elsevier
Dental problems are one of the most common health problems for people. To detect and
analyze these problems, dentists often use panoramic radiographs that show the entire …
analyze these problems, dentists often use panoramic radiographs that show the entire …
Teeth segmentation in panoramic dental X-ray using mask regional convolutional neural network
Featured Application Convolutional Neural Network (CNN) models are capable of learning
complex patterns and features from images. An automatic teeth segmentation CNN model …
complex patterns and features from images. An automatic teeth segmentation CNN model …
[HTML][HTML] Evaluation of an Artificial Intelligence web-based software to detect and classify dental structures and treatments in panoramic radiographs
M Bonfanti-Gris, A Garcia-Canas, R Alonso-Calvo… - Journal of dentistry, 2022 - Elsevier
Objectives To evaluate the diagnostic reliability of a web-based Artificial Intelligence
program on the detection and classification of dental structures and treatments present on …
program on the detection and classification of dental structures and treatments present on …
A convolutional neural network for automatic tooth numbering in panoramic images
M Prados-Privado, J García Villalón… - BioMed Research …, 2021 - Wiley Online Library
Analysis of dental radiographs and images is an important and common part of the
diagnostic process in daily clinical practice. During the diagnostic process, the dentist must …
diagnostic process in daily clinical practice. During the diagnostic process, the dentist must …
Automated detection of posterior restorations in permanent teeth using artificial intelligence on intraoral photographs
P Engels, O Meyer, J Schönewolf, A Schlickenrieder… - Journal of Dentistry, 2022 - Elsevier
Objectives Intraoral photographs might be considered the machine-readable equivalent of a
clinical-based visual examination and can potentially be used to detect and categorize …
clinical-based visual examination and can potentially be used to detect and categorize …