AIMC Topic: Alveolar Bone Loss

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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...
Deep Learning Periodontitis Radiography Humans Machine Learning Alveolar Bone Loss
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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 ...
Deep Learning Periodontitis Gingivitis Humans Periodontics Alveolar Bone Loss
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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...
Deep Learning Periodontitis Dentists Alveolar Bone Loss Professional Role Humans
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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...
Alveolar Bone Loss Radiography Observer Variation Neural Networks, Computer Periodontitis Humans
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Do Radiographic Assessments of Periodontal Bone Loss Improve with Deep Learning Methods for Enhanced Image Resolution?

Sensors (Basel, Switzerland) Mar 12, 2021
Resolution plays an essential role in oral imaging for periodontal disease assessment. Nevertheless, due to limitations in acquisition tools, a considerable number of oral examinations have low resolution, making the evaluation of this kind of lesion...
Neural Networks, Computer Diagnostic Imaging Deep Learning Humans Alveolar Bone Loss Image Processing, Computer-Assisted
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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 ...
Mandible Image Processing, Computer-Assisted Pattern Recognition, Automated Maxilla Periodontitis Humans Diagnosis, Computer-Assisted Deep Learning Algorithms Reproducibility of Results Alveolar Bone Loss
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DeNTNet: Deep Neural Transfer Network for the detection of periodontal bone loss using panoramic dental radiographs.

Scientific reports Nov 26, 2019
In this study, a deep learning-based method for developing an automated diagnostic support system that detects periodontal bone loss in the panoramic dental radiographs is proposed. The presented method called DeNTNet not only detects lesions but als...
Deep Learning Humans Radiography, Panoramic Radiographic Image Interpretation, Computer-Assisted Algorithms Dental Hygienists Alveolar Bone Loss Datasets as Topic Retrospective Studies Observer Variation
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Deep Learning for the Radiographic Detection of Periodontal Bone Loss.

Scientific reports Jun 11, 2019
We applied deep convolutional neural networks (CNNs) to detect periodontal bone loss (PBL) on panoramic dental radiographs. We synthesized a set of 2001 image segments from panoramic radiographs. Our reference test was the measured % of PBL. A deep f...
Radiography Databases as Topic Alveolar Bone Loss Deep Learning Humans Dentists ROC Curve Reproducibility of Results
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Advancing periodontal diagnosis: harnessing advanced artificial intelligence for patterns of periodontal bone loss in cone-beam computed tomography.

Dento maxillo facial radiology May 1, 2025
OBJECTIVES: The current study aimed to automatically detect tooth presence, tooth numbering, and types of periodontal bone defects from cone-beam CT (CBCT) images using a segmentation method with an advanced artificial intelligence (AI) algorithm.
Algorithms Female Adult Humans Artificial Intelligence Cone-Beam Computed Tomography Periodontal Diseases Alveolar Bone Loss Male Middle Aged
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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...
Periodontitis Radiography, Panoramic Radiography, Dental Alveolar Bone Loss Humans Machine Learning Radiography, Dental, Digital Deep Learning
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