Alveolar Process - AI Medical Compendium

A reliable deep-learning-based method for alveolar bone quantification using a murine model of periodontitis and micro-computed tomography imaging.

Journal of dentistry May 8, 2024

OBJECTIVES: This study focuses on artificial intelligence (AI)-assisted analysis of alveolar bone for periodontitis in a mouse model with the aim to create an automatic deep-learning segmentation model that enables researchers to easily examine alveo...

Artificial Intelligence Bone Density Deep Learning Imaging, Three-Dimensional Animals Alveolar Bone Loss Alveolar Process Periodontitis X-Ray Microtomography Maxilla Mice Disease Models, Animal

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Detection and classification of unilateral cleft alveolus with and without cleft palate on panoramic radiographs using a deep learning system.

Scientific reports Aug 6, 2021

Although panoramic radiography has a role in the examination of patients with cleft alveolus (CA), its appearances is sometimes difficult to interpret. The aims of this study were to develop a computer-aided diagnosis system for diagnosing the CA sta...

Cleft Lip Cleft Palate Alveolar Process Child Radiography, Panoramic Female Humans Male Deep Learning

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A deep learning approach for dental implant planning in cone-beam computed tomography images.

BMC medical imaging May 19, 2021

BACKGROUND: The aim of this study was to evaluate the success of the artificial intelligence (AI) system in implant planning using three-dimensional cone-beam computed tomography (CBCT) images.

Cone-Beam Computed Tomography Mandibular Canal Nasal Cavity Dental Implants Humans Bone Density Patient Care Planning Neural Networks, Computer Alveolar Process Deep Learning Jaw, Edentulous, Partially Radiography, Dental Mandible Dental Implantation Maxilla

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Automatic deep learning segmentation of mandibular periodontal bone topography on cone-beam computed tomography images.

Journal of dentistry Aug 1, 2025

OBJECTIVES: This study evaluated the performance of a multi-stage Segmentation Residual Network (SegResNet)-based deep learning (DL) model for the automatic segmentation of cone-beam computed tomography (CBCT) images of patients with stage III and IV...

Male Middle Aged Deep Learning Humans Reproducibility of Results Image Processing, Computer-Assisted Female Adult Periodontitis Alveolar Process Cone-Beam Computed Tomography Mandible

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AI-DRIVEN NASOALVEOLAR MOLDING DESIGN FOR CLEFT PATIENTS MAY BE A PROMISING BUT EVOLVING APPROACH.

The journal of evidence-based dental practice Jun 1, 2025

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Artificial intelligence-driven automation of nasoalveolar molding device planning: A systematic review. Alqutaibi AY, Hamadallah HH, Alassaf MS, Othman AA, Qazali AA, Alghauli MA. J Prosthet Dent. 2024 Oct...

Humans Artificial Intelligence Systematic Reviews as Topic Alveolar Process Cleft Lip Cleft Palate

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Machine learning for automated identification of anatomical landmarks in ultrasound periodontal imaging.

Dento maxillo facial radiology Mar 1, 2025

OBJECTIVES: To identify landmarks in ultrasound periodontal images and automate the image-based measurements of gingival recession (iGR), gingival height (iGH), and alveolar bone level (iABL) using machine learning.

Humans Machine Learning Gingiva Alveolar Process Gingival Recession Male Female Ultrasonography Adult Anatomic Landmarks

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Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

The Angle orthodontist Sep 1, 2024

OBJECTIVES: To evaluate an artificial intelligence (AI) model in predicting soft tissue and alveolar bone changes following orthodontic treatment and compare the predictive performance of the AI model with conventional prediction models.

Orthodontics, Corrective Alveolar Process Treatment Outcome Least-Squares Analysis Cephalometry Linear Models Anatomic Landmarks Adult Male Adolescent Female Young Adult Humans Neural Networks, Computer Artificial Intelligence

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AIMC Topic: Alveolar Process

A reliable deep-learning-based method for alveolar bone quantification using a murine model of periodontitis and micro-computed tomography imaging.

Detection and classification of unilateral cleft alveolus with and without cleft palate on panoramic radiographs using a deep learning system.

A deep learning approach for dental implant planning in cone-beam computed tomography images.

Automatic deep learning segmentation of mandibular periodontal bone topography on cone-beam computed tomography images.

AI-DRIVEN NASOALVEOLAR MOLDING DESIGN FOR CLEFT PATIENTS MAY BE A PROMISING BUT EVOLVING APPROACH.

Machine learning for automated identification of anatomical landmarks in ultrasound periodontal imaging.

Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

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AIMC Topic: Alveolar Process

A reliable deep-learning-based method for alveolar bone quantification using a murine model of periodontitis and micro-computed tomography imaging.

Detection and classification of unilateral cleft alveolus with and without cleft palate on panoramic radiographs using a deep learning system.

A deep learning approach for dental implant planning in cone-beam computed tomography images.

Automatic deep learning segmentation of mandibular periodontal bone topography on cone-beam computed tomography images.

AI-DRIVEN NASOALVEOLAR MOLDING DESIGN FOR CLEFT PATIENTS MAY BE A PROMISING BUT EVOLVING APPROACH.

Machine learning for automated identification of anatomical landmarks in ultrasound periodontal imaging.

Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

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