AIMC Topic: Osteitis

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Artificial intelligence-assisted identification of condensing osteitis and idiopathic osteosclerosis on panoramic radiographs.

Scientific reports Aug 11, 2025
Idiopathic osteosclerosis (IOS) and condensing osteitis (CO) represent radiopaque lesions often detected incidentally within the jaws, posing substantial diagnostic challenges due to their overlapping radiographic characteristics. The objective of th...
Middle Aged Deep Learning Adult Male Osteitis Osteosclerosis ROC Curve Radiography, Panoramic Artificial Intelligence Algorithms Retrospective Studies Female Humans
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Deep learning-based classification of erosion, synovitis and osteitis in hand MRI of patients with inflammatory arthritis.

RMD open Jun 17, 2024
OBJECTIVES: To train, test and validate the performance of a convolutional neural network (CNN)-based approach for the automated assessment of bone erosions, osteitis and synovitis in hand MRI of patients with inflammatory arthritis.
Deep Learning ROC Curve Middle Aged Severity of Illness Index Arthritis, Psoriatic Hand Arthritis, Rheumatoid Magnetic Resonance Imaging Female Aged Adult Male Humans Neural Networks, Computer Osteitis Synovitis
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Artificial intelligence for interpretation of segments of whole body MRI in CNO: pilot study comparing radiologists versus machine learning algorithm.

Pediatric rheumatology online journal Jun 9, 2020
BACKGROUND: To initiate the development of a machine learning algorithm capable of comparing segments of pre and post pamidronate whole body MRI scans to assess treatment response and to compare the results of this algorithm with the analysis of a pa...
Osteitis Pamidronate Femur Support Vector Machine Whole Body Imaging Magnetic Resonance Imaging Sensitivity and Specificity Bone Density Conservation Agents Image Interpretation, Computer-Assisted Treatment Outcome Artificial Intelligence Disease Progression Humans Tibia Machine Learning Chronic Disease Pilot Projects Radiologists Adolescent
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Clinical Validation and Extension of an Automated, Deep Learning-Based Algorithm for Quantitative Sinus CT Analysis.

AJNR. American journal of neuroradiology Sep 1, 2022
BACKGROUND AND PURPOSE: Sinus CT is critically important for the diagnosis of chronic rhinosinusitis. While CT is sensitive for detecting mucosal disease, automated methods for objective quantification of sinus opacification are lacking. We describe ...
Osteitis Humans Algorithms Tomography, X-Ray Computed Deep Learning Prospective Studies Adult Sinusitis Rhinitis Retrospective Studies Chronic Disease
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