AIMC Topic: Molar, Third
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Automatic detection and proximity quantification of inferior alveolar nerve and mandibular third molar on cone-beam computed tomography.
Clinical oral investigations
Nov 20, 2024
OBJECTIVES: During mandibular third molar (MTM) extraction surgery, preoperative analysis to quantify the proximity of the MTM to the surrounding inferior alveolar nerve (IAN) is essential to minimize the risk of IAN injury. This study aims to propos...
A two-stage deep-learning model for determination of the contact of mandibular third molars with the mandibular canal on panoramic radiographs.
BMC oral health
Nov 13, 2024
OBJECTIVES: This study aimed to assess the accuracy of a two-stage deep learning (DL) model for (1)Â detecting mandibular third molars (MTMs) and the mandibular canal (MC), and (2)Â classifying the anatomical relationship between these structures (cont...
Comparison of Faster R-CNN, YOLO, and SSD for Third Molar Angle Detection in Dental Panoramic X-rays.
Sensors (Basel, Switzerland)
Sep 19, 2024
The use of artificial intelligence algorithms (AI) has gained importance for dental applications in recent years. Analyzing AI information from different sensor data such as images or panoramic radiographs (panoramic X-rays) can help to improve medic...
Automated classification of mandibular canal in relation to third molar using CBCT images.
F1000Research
Sep 2, 2024
BACKGROUND: Dental radiology has significantly benefited from cone-beam computed tomography (CBCT) because of its compact size and low radiation exposure. Canal tracking is an important application of CBCT for determining the relationship between the...
Can ChatGPT-4o provide new systematic review ideas to oral and maxillofacial surgeons?
Journal of stomatology, oral and maxillofacial surgery
Jul 26, 2024
OBJECTIVE: This study aims to evaluate the capacity of ChatGPT-4o to generate new systematic review ideas in the field of oral and maxillofacial surgery. The data obtained from this study will provide evidence-based information to oral and maxillofac...
Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar.
International dental journal
Jul 22, 2024
BACKGROUND: Preoperative assessment of the impacted mandibular third molar (LM3) in a panoramic radiograph is important in surgical planning. The aim of this study was to develop and evaluate a computer-aided visualisation-based deep learning (DL) sy...
Automatic detection of the third molar and mandibular canal on panoramic radiographs based on deep learning.
Journal of stomatology, oral and maxillofacial surgery
Jun 9, 2024
PURPOSE: This study aims to develop a deep learning framework for the automatic detection of the position relationship between the mandibular third molar (M3) and the mandibular canal (MC) on panoramic radiographs (PRs), to assist doctors in assessin...
A fully automated classification of third molar development stages using deep learning.
Scientific reports
Jun 7, 2024
Accurate classification of tooth development stages from orthopantomograms (OPG) is crucial for dental diagnosis, treatment planning, age assessment, and forensic applications. This study aims to develop an automated method for classifying third mola...
NKUT: Dataset and Benchmark for Pediatric Mandibular Wisdom Teeth Segmentation.
IEEE journal of biomedical and health informatics
Jun 6, 2024
Germectomy is a common surgery in pediatric dentistry to prevent the potential dangers caused by impacted mandibular wisdom teeth. Segmentation of mandibular wisdom teeth is a crucial step in surgery planning. However, manually segmenting teeth and b...
Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach.
Journal of stomatology, oral and maxillofacial surgery
Mar 7, 2024
OBJECTIVE: The aim of this study is to determine if a deep learning (DL) model can predict the surgical difficulty for impacted maxillary third molar tooth using panoramic images before surgery.
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