AIMC Topic: Periodontitis
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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...
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.
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.
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...
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...
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 ...
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...
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 ...
[Artificial intelligence-based multimodal fusion diagnosis: advances in precision diagnosis of periodontitis].
Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
May 9, 2025
Periodontitis is a globally prevalent inflammatory oral disease, affecting approximately 50% of the population worldwide and imposing a substantial burden on patients' health and quality of life. Early and accurate diagnosis is critical for preventin...
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...
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