AIMC Topic: Radiography, Dental

Clear Filters Showing 51 to 60 of 61 articles

Detection of carotid artery calcifications using artificial intelligence in dental radiographs: a systematic review and meta-analysis.

BMC medical imaging May 19, 2025
BACKGROUND: Carotid artery calcifications are important markers of cardiovascular health, often associated with atherosclerosis and a higher risk of stroke. Recent research shows that dental radiographs can help identify these calcifications, allowin...
Carotid Artery Diseases Cone-Beam Computed Tomography Radiography, Panoramic Vascular Calcification Radiography, Dental Carotid Arteries Artificial Intelligence Humans Algorithms Sensitivity and Specificity
View on PubMed DOI

Assessment of Elapsed Time Between Dental Radiographs Using Siamese Network.

Studies in health technology and informatics May 15, 2025
Recently, machine learning methods have emerged to predict dental disease progression, often relying on costly annotated datasets and frequently exhibiting low generalization performance. This study evaluates the application of Siamese networks for d...
Neural Networks, Computer Machine Learning Female Disease Progression Humans Time Factors Male Radiography, Dental Middle Aged
View on PubMed DOI

Converting dose-area product to effective dose in dental cone-beam computed tomography using organ-specific deep learning.

Dento maxillo facial radiology Mar 1, 2025
OBJECTIVE: To develop an accurate method for converting dose-area product (DAP) to patient dose for dental cone-beam computed tomography (CBCT) using deep learning.
Humans Neural Networks, Computer Cone-Beam Computed Tomography Radiation Dosage Phantoms, Imaging Adult Deep Learning Radiography, Dental
View on PubMed DOI

Detection of periodontal bone loss and periodontitis from 2D dental radiographs via machine learning and deep learning: systematic review employing APPRAISE-AI and meta-analysis.

Dento maxillo facial radiology Feb 1, 2025
OBJECTIVES: Periodontitis is a serious periodontal infection that damages the soft tissues and bone around teeth and is linked to systemic conditions. Accurate diagnosis and staging, complemented by radiographic evaluation, are vital. This systematic...
Humans Machine Learning Alveolar Bone Loss Radiography, Panoramic Radiography, Dental, Digital Deep Learning Radiography, Dental Periodontitis
View on PubMed DOI

The influence of a deep learning tool on the performance of oral and maxillofacial radiologists in the detection of apical radiolucencies.

Dento maxillo facial radiology Feb 1, 2025
OBJECTIVES: This study aimed to assess the impact of a deep learning model on oral radiologists' ability to detect periapical radiolucencies on periapical radiographs. The secondary objective was to conduct a regression analysis to evaluate the effec...
Radiography, Dental Cone-Beam Computed Tomography Radiologists Periapical Diseases Deep Learning Clinical Competence Humans Sensitivity and Specificity Male Female
View on PubMed DOI

Preparing for downstream tasks in artificial intelligence for dental radiology: a baseline performance comparison of deep learning models.

Dento maxillo facial radiology Feb 1, 2025
OBJECTIVES: To compare the performance of the convolutional neural network (CNN) with the vision transformer (ViT), and the gated multilayer perceptron (gMLP) in the classification of radiographic images of dental structures.
Radiography, Dental Deep Learning Cone-Beam Computed Tomography Humans Artificial Intelligence Retrospective Studies Neural Networks, Computer
View on PubMed DOI

An Artificial Intelligence model for implant segmentation on periapical radiographs.

JPMA. The Journal of the Pakistan Medical Association Apr 1, 2024
OBJECTIVE: To segment dental implants on PA radiographs using a Deep Learning (DL) algorithm. To compare the performance of the algorithm relative to ground truth determined by the human annotator.
Deep Learning Dental Implants Radiography, Dental Humans Artificial Intelligence Algorithms
View on PubMed DOI

Deep learning for tooth identification and numbering on dental radiography: a systematic review and meta-analysis.

Dento maxillo facial radiology Jan 11, 2024
OBJECTIVES: Improved tools based on deep learning can be used to accurately number and identify teeth. This study aims to review the use of deep learning in tooth numbering and identification.
Radiography, Dental Tooth Humans Deep Learning Dental Caries
View on PubMed DOI

The Impact of Dental Artificial Intelligence for Radiograph Analysis.

Compendium of continuing education in dentistry (Jamesburg, N.J. : 1995) Jan 1, 2023
Dental artificial intelligence (AI) software can analyze and annotate radiographs in near real-time, transforming traditional gray-scale images into a color-coded diagnostic adjunct designed to draw the eye to potential pathologies. In this article, ...
Artificial Intelligence Software Radiographic Image Interpretation, Computer-Assisted Radiography, Dental Humans Dentists
View on PubMed

Efficacy of deep convolutional neural network algorithm for the identification and classification of dental implant systems, using panoramic and periapical radiographs: A pilot study.

Medicine Jun 26, 2020
Convolutional neural networks (CNNs), a particular type of deep learning architecture, are positioned to become one of the most transformative technologies for medical applications. The aim of the current study was to evaluate the efficacy of deep CN...
Radiography, Dental Deep Learning Algorithms Reproducibility of Results Pilot Projects Radiography, Panoramic Treatment Outcome Humans Diagnosis, Computer-Assisted Neural Networks, Computer Dental Implants
View on PubMed DOI
Popular Topics
Recent Journals