AIMC Topic: Radiography, Panoramic

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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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Efficacy of the methods of age determination using artificial intelligence in panoramic radiographs - a systematic review.

International journal of legal medicine Feb 24, 2024
The aim of this systematic review is to analyze the literature to determine whether the methods of artificial intelligence are effective in determining age in panoramic radiographs. Searches without language and year limits were conducted in PubMed/M...
Humans Radiography, Panoramic Age Determination by Teeth Artificial Intelligence Machine Learning Deep Learning
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Performance evaluation of a deep learning model for automatic detection and localization of idiopathic osteosclerosis on dental panoramic radiographs.

Scientific reports Feb 23, 2024
Idiopathic osteosclerosis (IO) are focal radiopacities of unknown etiology observed in the jaws. These radiopacities are incidentally detected on dental panoramic radiographs taken for other reasons. In this study, we investigated the performance of ...
Humans Osteosclerosis Contrast Media Radiography Radiography, Panoramic Artificial Intelligence Deep Learning
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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).
Mandibular Nerve Tooth Root Mandible Radiography, Panoramic Male Middle Aged Deep Learning Molar, Third Cone-Beam Computed Tomography Humans Retrospective Studies Female Adult
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Performance evaluation of three versions of a convolutional neural network for object detection and segmentation using a multiclass and reduced panoramic radiograph dataset.

Journal of dentistry Feb 16, 2024
OBJECTIVES: To evaluate the diagnostic performance of three versions of a deep-learning convolutional neural network in terms of object detection and segmentation using a multiclass panoramic radiograph dataset.
Dental Implants Tooth Maxilla Radiography, Panoramic Humans Mandibular Nerve Neural Networks, Computer Deep Learning Mandible Image Processing, Computer-Assisted
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Exploring the potential of artificial intelligence in paediatric dentistry: A systematic review on deep learning algorithms for dental anomaly detection.

International journal of paediatric dentistry Jan 31, 2024
BACKGROUND: Artificial intelligence (AI) based on deep learning (DL) algorithms has shown promise in enhancing the speed and accuracy of dental anomaly detection in paediatric dentistry.
Cone-Beam Computed Tomography Pediatric Dentistry Humans Radiography, Panoramic Algorithms Tooth Abnormalities Artificial Intelligence Deep Learning Child
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Detection of periodontal bone loss patterns and furcation defects from panoramic radiographs using deep learning algorithm: a retrospective study.

BMC oral health Jan 31, 2024
BACKGROUND: This retrospective study aimed to develop a deep learning algorithm for the interpretation of panoramic radiographs and to examine the performance of this algorithm in the detection of periodontal bone losses and bone loss patterns.
Retrospective Studies Deep Learning Radiography, Panoramic Humans Alveolar Bone Loss Artificial Intelligence Furcation Defects Algorithms
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Automatic dental age calculation from panoramic radiographs using deep learning: a two-stage approach with object detection and image classification.

BMC oral health Jan 31, 2024
BACKGROUND: Dental age is crucial for treatment planning in pediatric and orthodontic dentistry. Dental age calculation methods can be categorized into morphological, biochemical, and radiological methods. Radiological methods are commonly used becau...
Age Determination by Teeth Tooth Child Dental Pulp Humans Radiography, Panoramic Deep Learning
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OPG-based dental age estimation using a data-technical exploration of deep learning techniques.

Journal of forensic sciences Jan 30, 2024
Dental age estimation, a cornerstone in forensic age assessment, has been extensively tried and tested, yet manual methods are impeded by tedium and interobserver variability. Automated approaches using deep transfer learning encounter challenges lik...
Adolescent Radiography, Panoramic Forensic Dentistry Datasets as Topic Age Determination by Teeth Male Neural Networks, Computer Young Adult Middle Aged Female Adult Humans Deep Learning Aged
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Diagnosing oral and maxillofacial diseases using deep learning.

Scientific reports Jan 30, 2024
The classification and localization of odontogenic lesions from panoramic radiographs is a challenging task due to the positional biases and class imbalances of the lesions. To address these challenges, a novel neural network, DOLNet, is proposed tha...
Odontogenesis Humans Neural Networks, Computer Deep Learning Radiography, Panoramic
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