AIMC Topic: Tooth Root
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Diagnosis of in vivo vertical root fracture using deep learning on cone-beam CT images.
BMC oral health
Sep 5, 2022
OBJECTIVES: Evaluating the diagnostic efficiency of deep learning models to diagnose vertical root fracture in vivo on cone-beam CT (CBCT) images.
Accuracy of deep learning-based integrated tooth models by merging intraoral scans and CBCT scans for 3D evaluation of root position during orthodontic treatment.
Progress in orthodontics
May 9, 2022
OBJECTIVE: This study aimed to evaluate the accuracy of deep learning-based integrated tooth models (ITMs) by merging intraoral scans and cone-beam computed tomography (CBCT) scans for three-dimensional (3D) evaluation of root position during orthodo...
Development and Validation of a Visually Explainable Deep Learning Model for Classification of C-shaped Canals of the Mandibular Second Molars in Periapical and Panoramic Dental Radiographs.
Journal of endodontics
Apr 12, 2022
INTRODUCTION: The purpose of this study was to develop and validate a visually explainable deep learning model for the classification of C-shaped canals of the mandibular second molars in dental radiographs.
Construction of an end-to-end regression neural network for the determination of a quantitative index sagittal root inclination.
Journal of periodontology
Mar 16, 2022
BACKGROUND: Immediate implant placement in the esthetic area requires comprehensive assessments with nearly 30 quantitative indexes. Most artificial intelligence (AI)-driven measurements of quantitative indexes depend on segmentation or landmark dete...
A Deep Learning Approach to Segment and Classify C-Shaped Canal Morphologies in Mandibular Second Molars Using Cone-beam Computed Tomography.
Journal of endodontics
Sep 24, 2021
INTRODUCTION: The identification of C-shaped root canal anatomy on radiographic images affects clinical decision making and treatment. The aims of this study were to develop a deep learning (DL) model to classify C-shaped canal anatomy in mandibular ...
Artificial Intelligence for Fast and Accurate 3-Dimensional Tooth Segmentation on Cone-beam Computed Tomography.
Journal of endodontics
Jan 9, 2021
INTRODUCTION: Tooth segmentation on cone-beam computed tomographic (CBCT) imaging is a labor-intensive task considering the limited contrast resolution and potential disturbance by various artifacts. Fully automated tooth segmentation cannot be achie...
Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs.
Dento maxillo facial radiology
Jan 6, 2021
OBJECTIVE: The aim of this study was to evaluate the use of a convolutional neural network (CNN) system for predicting C-shaped canals in mandibular second molars on panoramic radiographs.
A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography.
Dento maxillo facial radiology
Nov 9, 2018
OBJECTIVES:: The distal root of the mandibular first molar occasionally has an extra root, which can directly affect the outcome of endodontic therapy. In this study, we examined the diagnostic performance of a deep learning system for classification...
An overview of the applications of AI for detecting anatomical configurations in endodontics.
Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
Jun 1, 2025
BACKGROUND: Artificial intelligence (AI), which uses algorithms to replicate human intellect, allows robots to learn from data and complete complex tasks on their own.
Detection of vertical root fractures by cone-beam computed tomography based on deep learning.
Dento maxillo facial radiology
Feb 1, 2023
OBJECTIVES: This study aims to evaluate the performance of ResNet models in the detection of and vertical root fractures (VRF) in Cone-beam Computed Tomography (CBCT) images.
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