AIMC Topic: Radiography, Dental

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RCFLA-YOLO: a deep learning-driven framework for the automated assessment of root canal filling quality in periapical radiographs.

BMC medical education Jul 1, 2025
BACKGROUND: Evaluating the quality of root canal filling (RCF) performed by dental students in preclinical settings is a time-consuming process for clinicians and is often subjectively assessed.
Humans Deep Learning Radiography, Dental Students, Dental Root Canal Obturation Clinical Competence Education, Dental
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Customized GPT-4V(ision) for radiographic diagnosis: can large language model detect supernumerary teeth?

BMC oral health May 21, 2025
BACKGROUND: With the growing capabilities of language models like ChatGPT to process text and images, this study evaluated their accuracy in detecting supernumerary teeth on periapical radiographs. A customized GPT-4V model (CGPT-4V) was also develop...
Humans Large Language Models Radiography, Dental Tooth, Supernumerary
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From inconsistent annotations to ground truth: Aggregation strategies for annotations of proximal carious lesions in dental imagery.

Journal of dentistry Mar 30, 2025
OBJECTIVES: Annotating carious lesions on images is challenging. For artificial intelligence (AI) applications, the aggregation of heterogeneous multi-examiner annotations into one single annotation (e.g. via majority voting, MV) is usually needed. W...
Radiography, Dental Transillumination Image Processing, Computer-Assisted Dental Caries Dental Enamel Humans Artificial Intelligence Dentin ROC Curve
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ChatGPT-4 Omni's superiority in answering multiple-choice oral radiology questions.

BMC oral health Feb 1, 2025
OBJECTIVES: This study evaluates and compares the performance of ChatGPT-3.5, ChatGPT-4 Omni (4o), Google Bard, and Microsoft Copilot in responding to text-based multiple-choice questions related to oral radiology, as featured in the Dental Specialty...
Generative Artificial Intelligence Surveys and Questionnaires Humans Turkey Education, Dental Educational Measurement Radiography, Dental Software
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Artificial Intelligence in Detecting and Segmenting Vertical Misfit of Prosthesis in Radiographic Images of Dental Implants: A Cross-Sectional Analysis.

Clinical oral implants research Jan 22, 2025
OBJECTIVE: This study evaluated ResNet-50 and U-Net models for detecting and segmenting vertical misfit in dental implant crowns using periapical radiographic images.
Radiography, Dental Crowns Humans Artificial Intelligence Deep Learning Reproducibility of Results Dental Implants Cross-Sectional Studies
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A Deep Learning-Based Approach to Detect Lamina Dura Loss on Periapical Radiographs.

Journal of imaging informatics in medicine Jan 21, 2025
This study aimed to develop a custom artificial intelligence (AI) model for detecting lamina dura (LD) loss around the roots of anterior and posterior teeth on intraoral periapical radiographs. A total of 701 periapical radiographs of the anterior an...
Radiography, Dental Sensitivity and Specificity Deep Learning Humans
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Automatic Vertical Root Fracture Detection on Intraoral Periapical Radiographs With Artificial Intelligence-Based Image Enhancement.

Dental traumatology : official publication of International Association for Dental Traumatology Jan 19, 2025
BACKGROUND/AIM: To explore transfer learning (TL) techniques for enhancing vertical root fracture (VRF) diagnosis accuracy and to assess the impact of artificial intelligence (AI) on image enhancement for VRF detection on both extracted teeth images ...
Tooth Fractures Tooth Root Radiographic Image Enhancement Radiography, Dental Artificial Intelligence Deep Learning Humans
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ARTIFICIAL INTELLIGENCE PLATFORMS IN DENTAL CARIES DETECTION: A SYSTEMATIC REVIEW AND META-ANALYSIS.

The journal of evidence-based dental practice Dec 12, 2024
OBJECTIVES: To assess Artificial Intelligence (AI) platforms, machine learning methodologies and associated accuracies used in detecting dental caries from clinical images and dental radiographs.
Machine Learning Sensitivity and Specificity Dental Caries Humans Radiography, Dental Artificial Intelligence
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Evaluation of root canal filling length on periapical radiograph using artificial intelligence.

Oral radiology Oct 27, 2024
OBJECTIVES: This work proposes a novel method to evaluate root canal filling (RCF) success using artificial intelligence (AI) and image analysis techniques.
Artificial Intelligence Deep Learning Humans Neural Networks, Computer Radiography, Dental Root Canal Obturation
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AI-based open-source software for cephalometric analysis from limited FOV radiographs.

Journal of dentistry Oct 20, 2024
BACKGROUND: Artificial Intelligence (AI) in dental diagnostics is evolving, offering innovative approaches for conducting cephalometric analysis with less manual input and overcoming the limitations of traditional imaging methods. To enhance the diag...
Cephalometry Radiography, Dental Image Processing, Computer-Assisted Humans Anatomic Landmarks Algorithms Artificial Intelligence Reproducibility of Results Software
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