AI Medical Compendium Journal:
Oral surgery, oral medicine, oral pathology and oral radiology

Showing 41 to 50 of 58 articles

Efficacy of a deep leaning model created with the transfer learning method in detecting sialoliths of the submandibular gland on panoramic radiography.

Oral surgery, oral medicine, oral pathology and oral radiology Aug 21, 2021
OBJECTIVE: This study aimed to compare the performance of 3 deep learning models, including a model constructed with the transfer learning method, in detecting submandibular gland sialoliths on panoramic radiographs.
Humans Deep Learning Salivary Gland Calculi Submandibular Gland Radiography, Panoramic Head
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A call to action: concerns related to artificial intelligence.

Oral surgery, oral medicine, oral pathology and oral radiology May 12, 2021
Humans Artificial Intelligence
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Artificial intelligence for detection of periapical lesions on intraoral radiographs: Comparison between convolutional neural networks and human observers.

Oral surgery, oral medicine, oral pathology and oral radiology Jan 22, 2021
OBJECTIVE: The aim of this study was to compare the diagnostic performance of convolutional neural networks (CNNs) with the performance of human observers for the detection of simulated periapical lesions on periapical radiographs.
Cattle ROC Curve Radiography Radiologists Artificial Intelligence Animals Humans Neural Networks, Computer
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Iterative reconstruction and deep learning algorithms for enabling low-dose computed tomography in midfacial trauma.

Oral surgery, oral medicine, oral pathology and oral radiology Dec 8, 2020
OBJECTIVES: The objective of this study was to quantitatively assess the image quality of Advanced Modeled Iterative Reconstruction (ADMIRE) and the PixelShine (PS) deep learning algorithm for the optimization of low-dose computed tomography protocol...
Algorithms Tomography, X-Ray Computed Humans Radiation Dosage Signal-To-Noise Ratio Deep Learning Radiographic Image Interpretation, Computer-Assisted
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HIV-positive patients with oral Kaposi's sarcoma: An overall survival analysis of 31 patients.

Oral surgery, oral medicine, oral pathology and oral radiology Nov 20, 2020
OBJECTIVE: The aim of this study was to evaluate the influence of viral load and lymphocyte count on survival of patients who presented with human immunodeficiency virus (HIV)-associated oral Kaposi's sarcoma.
Male Sarcoma, Kaposi Middle Aged CD4 Lymphocyte Count Brazil Survival Analysis HIV Infections Young Adult Adult Humans
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Applications of deep learning in dentistry.

Oral surgery, oral medicine, oral pathology and oral radiology Nov 18, 2020
Over the last few years, translational applications of so-called artificial intelligence in the field of medicine have garnered a significant amount of interest. The present article aims to review existing dental literature that has examined deep lea...
Dentistry Artificial Intelligence Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Humans
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Automated feature detection in dental periapical radiographs by using deep learning.

Oral surgery, oral medicine, oral pathology and oral radiology Aug 27, 2020
OBJECTIVE: The aim of this study was to investigate automated feature detection, segmentation, and quantification of common findings in periapical radiographs (PRs) by using deep learning (DL)-based computer vision techniques.
Bone and Bones Radiography Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
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An artificial intelligence system using machine-learning for automatic detection and classification of dental restorations in panoramic radiography.

Oral surgery, oral medicine, oral pathology and oral radiology Jun 3, 2020
OBJECTIVES: The aim of this study was to develop a computer vision algorithm based on artificial intelligence, designed to automatically detect and classify various dental restorations on panoramic radiographs.
Radiography, Panoramic Algorithms Support Vector Machine Artificial Intelligence Machine Learning
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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.
Humans Deep Learning Radiography, Panoramic Maxilla Tooth, Supernumerary Incisor Tooth, Impacted
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Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs.

Oral surgery, oral medicine, oral pathology and oral radiology May 20, 2020
OBJECTIVE: The aim of this study was to compare time and storage space requirements, diagnostic performance, and consistency among 3 image recognition convolutional neural networks (CNNs) in the evaluation of the relationships between the mandibular ...
Neural Networks, Computer Radiography, Panoramic Deep Learning Molar Molar, Third
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