Current applications of deep learning and radiomics on CT and CBCT for maxillofacial diseases
The increasing use of computed tomography (CT) and cone beam computed tomography
(CBCT) in oral and maxillofacial imaging has driven the development of deep learning and …
(CBCT) in oral and maxillofacial imaging has driven the development of deep learning and …
Application of artificial intelligence in orthodontics: current state and future perspectives
In recent years, there has been the notable emergency of artificial intelligence (AI) as a
transformative force in multiple domains, including orthodontics. This review aims to provide …
transformative force in multiple domains, including orthodontics. This review aims to provide …
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 …
Automatic segmentation of the pharyngeal airway space with convolutional neural network
S Shujaat, O Jazil, H Willems, A Van Gerven… - Journal of Dentistry, 2021 - Elsevier
Objectives This study proposed and investigated the performance of a deep learning based
three-dimensional (3D) convolutional neural network (CNN) model for automatic …
three-dimensional (3D) convolutional neural network (CNN) model for automatic …
AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients
This study aims to generate and also validate an automatic detection algorithm for
pharyngeal airway on CBCT data using an AI software (Diagnocat) which will procure a …
pharyngeal airway on CBCT data using an AI software (Diagnocat) which will procure a …
Developing an artificial intelligence solution to autosegment the edentulous mandibular bone for implant planning
MA Moufti, N Trabulsi, M Ghousheh… - European Journal of …, 2023 - thieme-connect.com
Objective Dental implants are considered the optimum solution to replace missing teeth and
restore the mouth's function and aesthetics. Surgical planning of the implant position is …
restore the mouth's function and aesthetics. Surgical planning of the implant position is …
Artificial intelligence as an aid in CBCT airway analysis: a systematic review
IA Tsolakis, OE Kolokitha, E Papadopoulou, AI Tsolakis… - Life, 2022 - mdpi.com
Background: The use of artificial intelligence (AI) in health sciences is becoming
increasingly popular among doctors nowadays. This study evaluated the literature regarding …
increasingly popular among doctors nowadays. This study evaluated the literature regarding …
The application of deep learning on CBCT in dentistry
W Fan, J Zhang, N Wang, J Li, L Hu - Diagnostics, 2023 - mdpi.com
Cone beam computed tomography (CBCT) has become an essential tool in modern
dentistry, allowing dentists to analyze the relationship between teeth and the surrounding …
dentistry, allowing dentists to analyze the relationship between teeth and the surrounding …
Evaluation of a decision support system developed with deep learning approach for detecting dental caries with cone-beam computed tomography imaging
This study aims to investigate the effect of using an artificial intelligence (AI) system
(Diagnocat, Inc., San Francisco, CA, USA) for caries detection by comparing cone-beam …
(Diagnocat, Inc., San Francisco, CA, USA) for caries detection by comparing cone-beam …
A systematic review of the techniques for automatic segmentation of the human upper airway using volumetric images
The human upper airway is comprised of many anatomical volumes. The obstructions in the
upper airway volumes are needed to be diagnosed which requires volumetric segmentation …
upper airway volumes are needed to be diagnosed which requires volumetric segmentation …