AIMC Topic: Dental Pulp Cavity

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Deep learning algorithms for detecting fractured instruments in root canals.

BMC oral health Feb 23, 2025
BACKGROUND: Identifying fractured endodontic instruments (FEIs) in periapical radiographs (PAs) is a critical yet challenging aspect of root canal treatment (RCT) due to anatomical complexities and overlapping structures. Deep learning (DL) models of...
Dental Instruments Algorithms Deep Learning Equipment Failure Root Canal Therapy Dental Pulp Cavity Humans
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A unique AI-based tool for automated segmentation of pulp cavity structures in maxillary premolars on CBCT.

Scientific reports Feb 14, 2025
To develop and validate an artificial intelligence (AI)-driven tool for the automatic segmentation of pulp cavity structures in maxillary premolars teeth on cone-beam computed tomography (CBCT). One hundred and eleven CBCT scans were divided into tra...
Artificial Intelligence Male Dental Pulp Cavity Humans Image Processing, Computer-Assisted Maxilla Bicuspid Cone-Beam Computed Tomography Imaging, Three-Dimensional
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A novel artificial intelligence-powered tool for automated root canal segmentation in single-rooted teeth on cone-beam computed tomography.

International endodontic journal Jan 28, 2025
AIM: To develop and validate an artificial intelligence (AI)-powered tool based on convolutional neural network (CNN) for automatic segmentation of root canals in single-rooted teeth using cone-beam computed tomography (CBCT).
Neural Networks, Computer Artificial Intelligence Retrospective Studies Humans Imaging, Three-Dimensional Tooth Root Dental Pulp Cavity Cone-Beam Computed Tomography
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The Effect of Different Bleaching Techniques Using 6% Hydrogen Peroxide: Penetration Inside the Pulp Cavity, Bleaching Efficacy and Toxicity.

Brazilian dental journal Dec 6, 2024
This in vitro study aimed to quantify the penetration of hydrogen peroxide (HP), bleaching efficacy (BE) and toxicity in larvae in different bleaching techniques using 6% HP. Sixty maxillary premolars were divided in six groups (n = 10): Pola Luminat...
Tooth Bleaching Agents Larva Hydrogen Peroxide In Vitro Techniques Tooth Bleaching Humans Dental Pulp Cavity Animals
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AI-driven segmentation of the pulp cavity system in mandibular molars on CBCT images using convolutional neural networks.

Clinical oral investigations Nov 21, 2024
OBJECTIVE: To develop and validate an artificial intelligence (AI)-driven tool for automated segmentation of the pulp cavity system of mandibular molars on cone-beam computed tomography (CBCT) images.
Cone-Beam Computed Tomography Imaging, Three-Dimensional Mandible Artificial Intelligence Dental Pulp Cavity Molar Humans Neural Networks, Computer
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Identification of Root Canal Morphology in Fused-rooted Mandibular Second Molars From X-ray Images Based on Deep Learning.

Journal of endodontics May 29, 2024
INTRODUCTION: Understanding the intricate anatomical morphology of fused-rooted mandibular second molars (MSMs) is essential for root canal treatment. The present study utilized a deep learning approach to identify the three-dimensional root canal mo...
X-Ray Microtomography Radiography, Dental Fused Teeth Mandible Molar Tooth Root Dental Pulp Cavity Imaging, Three-Dimensional Humans Deep Learning
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Second mesiobuccal canal segmentation with YOLOv5 architecture using cone beam computed tomography images.

Odontology Oct 31, 2023
The objective of this study is to use a deep-learning model based on CNN architecture to detect the second mesiobuccal (MB2) canals, which are seen as a variation in maxillary molars root canals. In the current study, 922 axial sections from 153 pati...
Artificial Intelligence Dental Pulp Cavity Humans Maxilla Cone-Beam Computed Tomography Tooth Root
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Evaluating the performance of generative adversarial network-synthesized periapical images in classifying C-shaped root canals.

Scientific reports Oct 21, 2023
This study evaluated the performance of generative adversarial network (GAN)-synthesized periapical images for classifying C-shaped root canals, which are challenging to diagnose because of their complex morphology. GANs have emerged as a promising t...
Dental Pulp Cavity Radiologists Vision Tests Humans Neural Networks, Computer
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Semi-supervised automatic dental age and sex estimation using a hybrid transformer model.

International journal of legal medicine Jan 31, 2023
Teeth-based age and sex estimation is an important task in mass disasters, criminal scenes, and archeology. Although various methods have been proposed, most of them are subjective and influenced by observers' experiences. In this study, we aimed to ...
Male Dental Pulp Cavity Adolescent Female Child, Preschool Humans Tooth Crown Adult Bicuspid Neural Networks, Computer Molar
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Detection of the separated root canal instrument on panoramic radiograph: a comparison of LSTM and CNN deep learning methods.

Dento maxillo facial radiology Jan 25, 2023
OBJECTIVES: A separated endodontic instrument is one of the challenging complications of root canal treatment. The purpose of this study was to compare two deep learning methods that are convolutional neural network (CNN) and long short-term memory (...
Radiography, Panoramic Tooth Root Retrospective Studies Deep Learning Dental Pulp Cavity Neural Networks, Computer Artificial Intelligence Humans
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