Current applications and development of artificial intelligence for digital dental radiography
In the last few years, artificial intelligence (AI) research has been rapidly developing and
emerging in the field of dental and maxillofacial radiology. Dental radiography, which is …
emerging in the field of dental and maxillofacial radiology. Dental radiography, which is …
The effectiveness of semi-automated and fully automatic segmentation for inferior alveolar canal localization on CBCT scans: A systematic review
J Issa, R Olszewski… - International journal of …, 2022 - mdpi.com
This systematic review aims to identify the available semi-automatic and fully automatic
algorithms for inferior alveolar canal localization as well as to present their diagnostic …
algorithms for inferior alveolar canal localization as well as to present their diagnostic …
Deep-learning approach for caries detection and segmentation on dental bitewing radiographs
Objectives The aim of this study is to recommend an automatic caries detection and
segmentation model based on the Convolutional Neural Network (CNN) algorithms in dental …
segmentation model based on the Convolutional Neural Network (CNN) algorithms in dental …
Deep learning based detection tool for impacted mandibular third molar teeth
ME Celik - Diagnostics, 2022 - mdpi.com
Third molar impacted teeth are a common issue with all ages, possibly causing tooth decay,
root resorption, and pain. This study was aimed at developing a computer-assisted detection …
root resorption, and pain. This study was aimed at developing a computer-assisted detection …
Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system
Objectives The goal of this study was to develop and evaluate the performance of a new
deep-learning (DL) artificial intelligence (AI) model for diagnostic charting in panoramic …
deep-learning (DL) artificial intelligence (AI) model for diagnostic charting in panoramic …
Deep learning-based evaluation of the relationship between mandibular third molar and mandibular canal on CBCT
MQ Liu, ZN Xu, WY Mao, Y Li, XH Zhang, HL Bai… - Clinical Oral …, 2022 - Springer
Objectives The objective of our study was to develop and validate a deep learning approach
based on convolutional neural networks (CNNs) for automatic detection of the mandibular …
based on convolutional neural networks (CNNs) for automatic detection of the mandibular …
Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images
The process of creating virtual models of dentomaxillofacial structures through three-
dimensional segmentation is a crucial component of most digital dental workflows. This …
dimensional segmentation is a crucial component of most digital dental workflows. This …
Human remains identification using Micro-CT, Chemometric and AI methods in Forensic Experimental Reconstruction of Dental patterns after concentrated sulphuric …
(1) Teeth, in humans, represent the most resilient tissues. However, exposure to
concentrated acids might lead to their dissolving, thus making human identification difficult …
concentrated acids might lead to their dissolving, thus making human identification difficult …
A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study
Introduction Deep learning methods have recently been applied for the processing of
medical images, and they have shown promise in a variety of applications. This study aimed …
medical images, and they have shown promise in a variety of applications. This study aimed …
[HTML][HTML] Determining the reliability of diagnosis and treatment using artificial intelligence software with panoramic radiographs
Purpose The objective of this study was to evaluate the accuracy and effectiveness of an
artificial intelligence (AI) program in identifying dental conditions using panoramic …
artificial intelligence (AI) program in identifying dental conditions using panoramic …