AIMC Topic: Maxilla
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Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach.
Journal of stomatology, oral and maxillofacial surgery
Mar 7, 2024
OBJECTIVE: The aim of this study is to determine if a deep learning (DL) model can predict the surgical difficulty for impacted maxillary third molar tooth using panoramic images before surgery.
Performance evaluation of three versions of a convolutional neural network for object detection and segmentation using a multiclass and reduced panoramic radiograph dataset.
Journal of dentistry
Feb 16, 2024
OBJECTIVES: To evaluate the diagnostic performance of three versions of a deep-learning convolutional neural network in terms of object detection and segmentation using a multiclass panoramic radiograph dataset.
Deep learning for the identification of ridge deficiency around dental implants.
Clinical implant dentistry and related research
Dec 27, 2023
OBJECTIVES: This study aimed to use a deep learning (DL) approach for the automatic identification of the ridge deficiency around dental implants based on an image slice from cone-beam computerized tomography (CBCT).
Convolutional neural network-assisted diagnosis of midpalatal suture maturation stage in cone-beam computed tomography.
Journal of dentistry
Dec 13, 2023
OBJECTIVES: The selection of treatment for maxillary expansion is closely related to the calcification degree of the midpalatal suture. A classification method for individual assessment of the morphology of midpalatal suture in cone-beam computed tom...
Facial profile evaluation and prediction of skeletal class II patients during camouflage extraction treatment: a pilot study.
Head & face medicine
Dec 4, 2023
BACKGROUND: The evaluation of the facial profile of skeletal Class II patients with camouflage treatment is of great importance for patients and orthodontists. The aim of this study is to explore the key factors in evaluating the facial profile esthe...
Feasibility and accuracy of a task-autonomous robot for zygomatic implant placement.
The Journal of prosthetic dentistry
Nov 27, 2023
STATEMENT OF PROBLEM: Zygomatic implants (ZIs) should be placed accurately as planned preoperatively to minimize complications and maximize the use of the remaining bone. Current digital techniques such as static guides and dynamic navigation are aff...
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...
Machine learning model to predict the width of maxillary central incisor from anthropological measurements.
Journal of prosthodontic research
Oct 18, 2023
PURPOSE: To improve smile esthetics, clinicians should comprehensively analyze the face and ensure that the sizes selected for the maxillary anterior teeth are compatible with the available anthropological measurements. The inter commissural (ICW), i...
Abnormal maxillary sinus diagnosing on CBCT images via object detection and 'straight-forward' classification deep learning strategy.
Journal of oral rehabilitation
Sep 4, 2023
BACKGROUND: Pathological maxillary sinus would affect implant treatment and even result in failure of maxillary sinus lift and implant surgery. However, the maxillary sinus abnormalities are challenging to be diagnosed through CBCT images, especially...
Semi-autonomous two-stage dental robotic technique for zygomatic implants: An in vitro study.
Journal of dentistry
Sep 4, 2023
OBJECTIVE: To assess the feasibility and accuracy of a semi-autonomous two-stage dental robotic technique for zygomatic implants.
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