AIMC Topic: Periodontitis

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Application of deep machine learning for the radiographic diagnosis of periodontitis.

Clinical oral investigations Jul 26, 2022
OBJECTIVE: Successful application of deep machine learning could reduce time-consuming and labor-intensive clinical work of calculating the amount of radiographic bone loss (RBL) in diagnosing and treatment planning for periodontitis. This study aime...
Humans Machine Learning Deep Learning Alveolar Bone Loss Periodontitis Radiography
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Deep learning in periodontology and oral implantology: A scoping review.

Journal of periodontal research Jul 20, 2022
Deep learning (DL) has been employed for a wide range of tasks in dentistry. We aimed to systematically review studies employing DL for periodontal and implantological purposes. A systematic electronic search was conducted on four databases (Medline ...
Periodontitis Gingivitis Periodontics Humans Alveolar Bone Loss Deep Learning
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A two-stage deep learning architecture for radiographic staging of periodontal bone loss.

BMC oral health Apr 1, 2022
BACKGROUND: Radiographic periodontal bone loss is one of the most important basis for periodontitis staging, with problems such as limited accuracy, inconsistency, and low efficiency in imaging diagnosis. Deep learning network may be a solution to im...
Humans Deep Learning Periodontitis Professional Role Dentists Alveolar Bone Loss
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Use of the deep learning approach to measure alveolar bone level.

Journal of clinical periodontology Dec 31, 2021
AIM: The goal was to use a deep convolutional neural network to measure the radiographic alveolar bone level to aid periodontal diagnosis.
Image Processing, Computer-Assisted Periodontitis Humans Neural Networks, Computer Deep Learning
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Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis.

Journal of Korean medical science Nov 8, 2021
BACKGROUND: This study used machine learning and population data for testing the associations of preterm birth with gastroesophageal reflux disease (GERD) and periodontitis.
Gastroesophageal Reflux Social Class Humans Machine Learning Adult Databases, Factual Female Logistic Models Retrospective Studies Premature Birth Periodontitis Republic of Korea Pregnancy
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Automating Periodontal bone loss measurement via dental landmark localisation.

International journal of computer assisted radiology and surgery Jun 21, 2021
PURPOSE: Periodontitis is the sixth most prevalent disease worldwide and periodontal bone loss (PBL) detection is crucial for its early recognition and establishment of the correct diagnosis and prognosis. Current radiographic assessment by clinician...
Humans Radiography Observer Variation Alveolar Bone Loss Neural Networks, Computer Periodontitis
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A decision support system based on support vector machine for diagnosis of periodontal disease.

BMC research notes Jul 13, 2020
OBJECTIVE: Early diagnosis of many diseases is essential for their treatment. Furthermore, the existence of abundant and unknown variables makes more complicated decision making. For this reason, the diagnosis and classification of diseases using mac...
Decision Support Systems, Clinical Support Vector Machine Periodontitis Gingivitis Adult Cross-Sectional Studies Humans Male Female Young Adult
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Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitis.

Scientific reports May 5, 2020
We developed an automatic method for staging periodontitis on dental panoramic radiographs using the deep learning hybrid method. A novel hybrid framework was proposed to automatically detect and classify the periodontal bone loss of each individual ...
Diagnosis, Computer-Assisted Deep Learning Mandible Algorithms Humans Maxilla Image Processing, Computer-Assisted Periodontitis Alveolar Bone Loss Reproducibility of Results Pattern Recognition, Automated
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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...
Adult Male Middle Aged Female Reproducibility of Results Image Processing, Computer-Assisted Periodontitis Alveolar Process Deep Learning Humans Cone-Beam Computed Tomography Mandible
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Annexin A2 Contributes to Release of Extracellular Vimentin in Response to Inflammation.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology May 15, 2025
Vimentin, an abundant intracellular cytoskeletal protein, is secreted into the extracellular space, where it can amplify tissue destruction in inflammatory diseases. The mechanisms by which inflammation promotes the release of extracellular vimentin ...
Interleukin-1beta Inflammation Gingiva Vimentin Fibroblasts Humans Annexin A2 Periodontitis Cells, Cultured
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