AIMC Topic: Radiography, Dental

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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.
Neural Networks, Computer Adult Humans Radiation Dosage Phantoms, Imaging Radiography, Dental Deep Learning Cone-Beam Computed Tomography
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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...
Alveolar Bone Loss Periodontitis Radiography, Panoramic Radiography, Dental, Digital Radiography, Dental Machine Learning Deep Learning Humans
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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...
Female Sensitivity and Specificity Humans Clinical Competence Cone-Beam Computed Tomography Radiologists Male Deep Learning Periapical Diseases Radiography, Dental
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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.
Artificial Intelligence Radiography, Dental Retrospective Studies Deep Learning Cone-Beam Computed Tomography Humans Neural Networks, Computer
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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.
Radiography, Dental Humans Artificial Intelligence Deep Learning Dental Implants Algorithms
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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.
Humans Radiography, Dental Tooth Deep Learning Dental Caries
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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, ...
Radiographic Image Interpretation, Computer-Assisted Radiography, Dental Dentists Artificial Intelligence Software Humans
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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 Diagnosis, Computer-Assisted Deep Learning Humans Radiography, Panoramic Algorithms Pilot Projects Neural Networks, Computer Dental Implants Treatment Outcome Reproducibility of Results
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A Convolutional Neural Network Based Auto-Positioning Method For Dental Arch In Rotational Panoramic Radiography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Dental panoramic radiography (DPR), a widely used medical examination method, has its intrinsic weakness in high requirement to the positioning of patient. Although positioning devices like chin support can provide a relatively stable and guaranteed ...
Radiography, Dental Chin Radiography, Panoramic Dental Arch Humans Neural Networks, Computer
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