AIMC Topic: Molar, Third

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Deep learning methods for fully automated dental age estimation on orthopantomograms.

Clinical oral investigations Mar 7, 2024
OBJECTIVES: This study aimed to use all permanent teeth as the target and establish an automated dental age estimation method across all developmental stages of permanent teeth, accomplishing all the essential steps of tooth determination, tooth deve...
Molar, Third Radiography, Panoramic Odontogenesis Humans Deep Learning Child
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Fully automated deep learning model for detecting proximity of mandibular third molar root to inferior alveolar canal using panoramic radiographs.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 20, 2024
OBJECTIVE: This study endeavored to develop a novel, fully automated deep-learning model to determine the topographic relationship between mandibular third molar (MM3) roots and the inferior alveolar canal (IAC) using panoramic radiographs (PRs).
Radiography, Panoramic Mandibular Nerve Tooth Root Cone-Beam Computed Tomography Mandible Humans Retrospective Studies Female Middle Aged Adult Deep Learning Male Molar, Third
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A retrospective longitudinal assessment of artificial intelligence-assisted radiographic prediction of lower third molar eruption.

Scientific reports Jan 10, 2024
Prediction of lower third molar eruption is crucial for its timely extraction. Therefore, the primary aim of this study was to investigate the prediction of lower third molar eruption and its uprighting with the assistance of an artificial intelligen...
Artificial Intelligence Retrospective Studies Infant Humans Tooth Eruption Molar, Third Molar
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Is ChatGPT a reliable source of scientific information regarding third-molar surgery?

Journal of the American Dental Association (1939) Jan 8, 2024
BACKGROUND: ChatGPT (OpenAI) is a large language model. This model uses artificial intelligence and machine learning techniques to generate humanlike language and responses, even to complex questions. The authors aimed to assess the reliability of re...
Artificial Intelligence Health Personnel Reproducibility of Results Humans Molar, Third Molar
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Risk assessment of inferior alveolar nerve injury after wisdom tooth removal using 3D AI-driven models: A within-patient study.

Journal of dentistry Oct 28, 2023
OBJECTIVE: To compare a three-dimensional (3D) artificial intelligence (AI)- driven model with panoramic radiography (PANO) and cone-beam computed tomography (CBCT) in assessing the risk of inferior alveolar nerve (IAN) injury after mandibular wisdom...
Mandible Humans Mandibular Nerve Radiography, Panoramic Risk Assessment Artificial Intelligence Tooth Extraction Molar, Third Trigeminal Nerve Injuries Cone-Beam Computed Tomography
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A deep learning model based on concatenation approach to predict the time to extract a mandibular third molar tooth.

BMC oral health Dec 7, 2022
BACKGROUND: Assessing the time required for tooth extraction is the most important factor to consider before surgeries. The purpose of this study was to create a practical predictive model for assessing the time to extract the mandibular third molar ...
Tooth Extraction Humans Artificial Intelligence Deep Learning Molar, Third Operative Time
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Deep learning model for analyzing the relationship between mandibular third molar and inferior alveolar nerve in panoramic radiography.

Scientific reports Oct 8, 2022
In this study, the accuracy of the positional relationship of the contact between the inferior alveolar canal and mandibular third molar was evaluated using deep learning. In contact analysis, we investigated the diagnostic performance of the presenc...
Radiography, Panoramic Mandibular Nerve Molar Molar, Third Mandible Deep Learning
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Automatic visualization of the mandibular canal in relation to an impacted mandibular third molar on panoramic radiographs using deep learning segmentation and transfer learning techniques.

Oral surgery, oral medicine, oral pathology and oral radiology Jun 5, 2022
OBJECTIVE: The aim of this study was to create and assess a deep learning model using segmentation and transfer learning methods to visualize the proximity of the mandibular canal to an impacted third molar on panoramic radiographs.
Molar, Third Mandibular Canal Radiography, Panoramic Radiography, Dental, Digital Tooth, Impacted Humans Deep Learning
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Artificial intelligence-designed single molar dental prostheses: A protocol of prospective experimental study.

PloS one Jun 2, 2022
BACKGROUND: Dental prostheses, which aim to replace missing teeth and to restore patients' appearance and oral functions, should be biomimetic and thus adopt the occlusal morphology and three-dimensional (3D) position of healthy natural teeth. Since ...
Prospective Studies Molar, Third Randomized Controlled Trials as Topic Humans Artificial Intelligence Molar Dental Prosthesis
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Artificial intelligence in positioning between mandibular third molar and inferior alveolar nerve on panoramic radiography.

Scientific reports Feb 14, 2022
Determining the exact positional relationship between mandibular third molar (M3) and inferior alveolar nerve (IAN) is important for surgical extractions. Panoramic radiography is the most common dental imaging test. The purposes of this study were t...
Molar, Third Cone-Beam Computed Tomography Mandible Radiography, Panoramic Mandibular Nerve Male Middle Aged Deep Learning Young Adult Adult Mandibular Nerve Injuries Tooth Extraction Data Accuracy Clinical Decision-Making Female Aged Humans
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