AI Medical Compendium Journal:
Oral surgery, oral medicine, oral pathology and oral radiology

Showing 11 to 20 of 58 articles

Letter to the editor: Magnetic resonance imaging-based radiomics and deep learning models for predicting lymph node metastasis of squamous cell carcinoma of the tongue.

Oral surgery, oral medicine, oral pathology and oral radiology May 3, 2024
Humans Carcinoma, Squamous Cell Magnetic Resonance Imaging Predictive Value of Tests Tongue Neoplasms Radiomics Deep Learning Lymphatic Metastasis
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Diagnostic capability of artificial intelligence tools for detecting and classifying odontogenic cysts and tumors: a systematic review and meta-analysis.

Oral surgery, oral medicine, oral pathology and oral radiology Mar 19, 2024
OBJECTIVE: To evaluate the diagnostic capability of artificial intelligence (AI) for detecting and classifying odontogenic cysts and tumors, with special emphasis on odontogenic keratocyst (OKC) and ameloblastoma.
Odontogenic Cysts Ameloblastoma Jaw Neoplasms Algorithms Odontogenic Tumors Humans Cone-Beam Computed Tomography Radiography, Panoramic Artificial Intelligence
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Evaluation of AI-generated responses by different artificial intelligence chatbots to the clinical decision-making case-based questions in oral and maxillofacial surgery.

Oral surgery, oral medicine, oral pathology and oral radiology Mar 6, 2024
OBJECTIVES: This study aims to evaluate the correctness of the generated answers by Google Bard, GPT-3.5, GPT-4, Claude-Instant, and Bing chatbots to decision-making clinical questions in the oral and maxillofacial surgery (OMFS) area.
Surgery, Oral Clinical Decision-Making Surveys and Questionnaires Humans Internet Artificial Intelligence
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Age and sex estimation in cephalometric radiographs based on multitask convolutional neural networks.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 20, 2024
OBJECTIVES: Age and sex characteristics are evident in cephalometric radiographs (CRs), yet their accurate estimation remains challenging due to the complexity of these images. This study aimed to harness deep learning to automate age and sex estimat...
Sensitivity and Specificity Male Deep Learning Adolescent Child Cephalometry Neural Networks, Computer Female Adult Sex Determination by Skeleton Humans Age Determination by Skeleton
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A primer and overview of the role of artificial intelligence in oral and maxillofacial radiology.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 20, 2024
Humans Artificial Intelligence Radiography, Dental
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Tooth numbering and classification on bitewing radiographs: an artificial intelligence pilot study.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 20, 2024
OBJECTIVE: The aim of this study is to assess the efficacy of employing a deep learning methodology for the automated identification and enumeration of permanent teeth in bitewing radiographs. The experimental procedures and techniques employed in th...
Pilot Projects Radiographic Image Interpretation, Computer-Assisted Turkey Tooth Radiography, Bitewing Humans Artificial Intelligence Algorithms Sensitivity and Specificity 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).
Tooth Root Adult Male Middle Aged Retrospective Studies Female Mandible Deep Learning Humans Radiography, Panoramic Molar, Third Mandibular Nerve Cone-Beam Computed Tomography
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Deep learning for automatic detection of cephalometric landmarks on lateral cephalometric radiographs using the Mask Region-based Convolutional Neural Network: a pilot study.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 12, 2024
OBJECTIVE: We examined the effectiveness and feasibility of the Mask Region-based Convolutional Neural Network (Mask R-CNN) for automatic detection of cephalometric landmarks on lateral cephalometric radiographs (LCRs).
Cephalometry Feasibility Studies Deep Learning Pilot Projects Anatomic Landmarks Female Male Humans Neural Networks, Computer
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Performance of AI chatbots on controversial topics in oral medicine, pathology, and radiology.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 6, 2024
OBJECTIVES: In this study, we assessed 6 different artificial intelligence (AI) chatbots (Bing, GPT-3.5, GPT-4, Google Bard, Claude, Sage) responses to controversial and difficult questions in oral pathology, oral medicine, and oral radiology.
Oral Medicine Artificial Intelligence Humans Radiology Pathology, Oral
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Magnetic resonance imaging-based radiomics and deep learning models for predicting lymph node metastasis of squamous cell carcinoma of the tongue.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 3, 2024
OBJECTIVE: This study aimed to establish a combined method of radiomics and deep learning (DL) in magnetic resonance imaging (MRI) to predict lymph node metastasis (LNM) preoperatively in patients with squamous cell carcinoma of the tongue.
Radiomics Male Middle Aged Aged Adult Magnetic Resonance Imaging Predictive Value of Tests Tongue Neoplasms Deep Learning Nomograms Lymphatic Metastasis Humans Retrospective Studies Female Carcinoma, Squamous Cell
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