AIMC Topic: Radiography, Panoramic
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Exploring GPT-4o's multimodal reasoning capabilities with panoramic radiograph: the role of prompt engineering.
Clinical oral investigations
Aug 12, 2025
OBJECTIVES: The aim of this study was to evaluate GPT-4o's multimodal reasoning ability to review panoramic radiograph (PR) and verify its radiologic findings, while exploring the role of prompt engineering in enhancing its performance.
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...
Deep learning for tooth detection and segmentation in panoramic radiographs: a systematic review and meta-analysis.
BMC oral health
Jul 30, 2025
BACKGROUND: This systematic review and meta-analysis aimed to summarize and evaluate the available information regarding the performance of deep learning methods for tooth detection and segmentation in orthopantomographies.
Development and evaluation of a deep learning-based system for dental age estimation using the demirjian method on panoramic radiographs.
BMC oral health
Jul 16, 2025
BACKGROUND: To develop and evaluate a deep learning-based model for automatic dental age estimation using the Demirjian method on panoramic radiographs, and to compare its performance with the traditional manual approach.
A novel dual embedding few-shot learning approach for classifying bone loss using orthopantomogram radiographic notes.
Head & face medicine
Jul 11, 2025
BACKGROUND: Orthopantomograms (OPGs) are essential diagnostic tools in dental and maxillofacial care, providing a panoramic view of the jaws, teeth, and surrounding bone structures. Detecting bone loss, which indicates periodontal disease and systemi...
Applying deep learning techniques to identify tonsilloliths in panoramic radiography.
Scientific reports
Jul 9, 2025
Tonsilloliths can be seen on panoramic radiographs (PRs) as deposits located on the middle portion of the ramus of the mandible. Although tonsilloliths are clinically harmless, the high risk of misdiagnosis leads to unnecessary advanced examinations ...
Deep learning-based approach to third molar impaction analysis with clinical classifications.
Scientific reports
Jul 3, 2025
This study developed a deep learning model for the automated detection and classification of impacted third molars using the Pell and Gregory Classification, Winter's Classification, and Pederson Difficulty Index. Panoramic radiographs of patients tr...
Performance of two different artificial intelligence models in dental implant planning among four different implant planning software: a comparative study.
BMC oral health
Jul 2, 2025
BACKGROUND: The integration of artificial intelligence (AI) in dental implant planning has emerged as a transformative approach to enhance diagnostic accuracy and efficiency. This study aimed to evaluate the performance of two object detection models...
Mandibular condyle detection using deep learning and double attractor-based energy valley optimizer algorithm.
BMC oral health
Jun 6, 2025
The temporomandibular joint (TMJ) constitutes a bilateral ginglymoarthrodial joint, wherein each condyle interacts with its corresponding glenoid fossa of the temporal bone. There is a critical need to understand better and accurately characterize th...
Artificial intelligence-based detection of dens invaginatus in panoramic radiographs.
BMC oral health
Jun 5, 2025
OBJECTIVE: The aim of this study was to automatically detect teeth with dens invaginatus (DI) in panoramic radiographs using deep learning algorithms and to compare the success of the algorithms.
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