AIMC Topic: Incisor

Clear Filters Showing 11 to 20 of 20 articles

Deep-learning systems for diagnosing cleft palate on panoramic radiographs in patients with cleft alveolus.

Oral radiology Aug 19, 2022
OBJECTIVES: The aim of the present study was to create effective deep learning-based models for diagnosing the presence or absence of cleft palate (CP) in patients with unilateral or bilateral cleft alveolus (CA) on panoramic radiographs.
Deep Learning Radiography, Panoramic Cleft Palate Incisor Humans
View on PubMed DOI

Assessment of automatic cephalometric landmark identification using artificial intelligence.

Orthodontics & craniofacial research Nov 29, 2021
OBJECTIVE: To compare the accuracy of cephalometric landmark identification between artificial intelligence (AI) deep learning convolutional neural networks (CNN) You Only Look Once, Version 3 (YOLOv3) algorithm and the manually traced (MT) group.
Artificial Intelligence Radiography Cephalometry Incisor
View on PubMed DOI

Deep learning systems for detecting and classifying the presence of impacted supernumerary teeth in the maxillary incisor region on panoramic radiographs.

Oral surgery, oral medicine, oral pathology and oral radiology Jun 2, 2020
OBJECTIVE: This investigation aimed to verify and compare the performance of 3 deep learning systems for classifying maxillary impacted supernumerary teeth (ISTs) in patients with fully erupted incisors.
Tooth, Impacted Maxilla Tooth, Supernumerary Humans Deep Learning Radiography, Panoramic Incisor
View on PubMed DOI

Machine learning in orthodontics: .

The Angle orthodontist Aug 12, 2019
OBJECTIVES: To (1) introduce a novel machine learning method and (2) assess maxillary structure variation in unilateral canine impaction for advancing clinically viable information.
Maxilla Constriction Spiral Cone-Beam Computed Tomography Palatal Expansion Technique Incisor Cuspid Tooth, Impacted Orthodontics Humans Machine Learning Adolescent Cone-Beam Computed Tomography
View on PubMed DOI

Complete rehabilitation of compromised full dentitions with adhesively bonded all-ceramic single-tooth restorations: Long-term outcome in patients with and without amelogenesis imperfecta.

Journal of dentistry Dec 21, 2017
OBJECTIVES: This clinical follow-up evaluated the long-term outcome of full-mouth rehabilitations with adhesively bonded all-ceramic restorations in patients suffering from amelogenesis imperfecta (AI) or affected by extensive tooth wear including a ...
Time Factors Dental Veneers Treatment Outcome Dentition Tooth Fractures Oral Health Adult Dental Cements Incisor Tooth Wear Survival Rate Dental Materials Dental Marginal Adaptation Male Periodontal Index Amelogenesis Imperfecta Dental Porcelain Humans Middle Aged Bruxism Dental Restoration Failure Female Ceramics Young Adult Dental Bonding
View on PubMed DOI

In vitro evaluation of accuracy and precision of automated robotic tooth preparation system for porcelain laminate veneers.

The Journal of prosthetic dentistry May 5, 2015
STATEMENT OF PROBLEM: Controlling tooth reduction for porcelain laminate veneers (PLVs) in fractions of millimeters is challenging.
Computer-Aided Design Imaging, Three-Dimensional Robotics Materials Testing Lasers Therapy, Computer-Assisted Dental Porcelain Dental Veneers Incisor Dental High-Speed Equipment Models, Dental Tooth Preparation, Prosthodontic
View on PubMed DOI

AI-AIDED VOLUMETRIC ROOT RESORPTION ASSESSMENT FOLLOWING PERSONALIZED FORCES IN ORTHODONTICS: PRELIMINARY RESULTS OF A RANDOMIZED CLINICAL TRIAL.

The journal of evidence-based dental practice Jun 1, 2025
INTRODUCTION: External apical root resorption (EARR) is an undesirable loss of hard tissues of the tooth root frequently affecting to the maxillary incisors. The magnitude of orthodontic forces is a major treatment-related factor associated with EARR...
Humans Artificial Intelligence Female Tooth Movement Techniques Male Incisor Adolescent Orthodontic Wires Cone-Beam Computed Tomography Root Resorption Imaging, Three-Dimensional
View on PubMed DOI

Adolescents and Children Age Estimation Using Machine Learning Based on Pulp and Tooth Volumes on CBCT Images.

Fa yi xue za zhi Apr 25, 2024
OBJECTIVES: To estimate adolescents and children age using stepwise regression and machine learning methods based on the pulp and tooth volumes of the left maxillary central incisor and cuspid on cone beam computed tomography (CBCT) images, and to co...
Tooth Cone-Beam Computed Tomography Dental Pulp Age Determination by Teeth Incisor Humans Male Machine Learning China Algorithms Adolescent Female Child
View on PubMed DOI

New approach for the diagnosis of extractions with neural network machine learning.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Jan 1, 2016
INTRODUCTION: The decision to extract teeth for orthodontic treatment is important and difficult because it tends to be based on the practitioner's experiences. The purposes of this study were to construct an artificial intelligence expert system for...
Decision Making, Computer-Assisted Nose Lip Nasal Bone Orthodontics, Corrective Incisor Patient Care Planning Maxilla Cephalometry Tooth Extraction Expert Systems Machine Learning Algorithms Female Young Adult Adult Male Humans Mandible Neural Networks, Computer Anatomic Landmarks Artificial Intelligence
View on PubMed DOI

Amelogenesis Imperfecta with Coronal Resorption: Report of Three Cases.

Dental update Dec 1, 2015
Intracoronal resorption of the permanent dentition in cases of amelogenesis imperfecta (AI) is a rare finding which poses an added complication to the already complex management of this condition. This paper presents three cases of AI associated with...
Tooth, Impacted Molar Cuspid Tooth Crown Tooth Resorption Male Tooth, Deciduous Adolescent Humans Pedigree Child Female Amelogenesis Imperfecta Follow-Up Studies Incisor
View on PubMed DOI
Popular Topics
Recent Journals