AIMC Topic: Tooth, Supernumerary

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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...
Radiography, Dental Humans Tooth, Supernumerary Large Language Models
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Development and validation of a robotic system for milling individualized jawbone cavities in oral and maxillofacial surgery.

Journal of dentistry Sep 30, 2024
OBJECTIVES: This study aimed to develop and validate a robotic system capable of performing accurate and minimally invasive jawbone milling procedures in oral and maxillofacial surgery.
Humans Software Tooth, Supernumerary Stereolithography Maxilla Models, Dental Printing, Three-Dimensional Robotics Minimally Invasive Surgical Procedures Computer-Aided Design Models, Anatomic Surgery, Computer-Assisted Surgery, Oral
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Deep learning with convolution neural network detecting mesiodens on panoramic radiographs: comparing four models.

Odontology Jul 17, 2024
The aim of this study was to develop an optimal, simple, and lightweight deep learning convolutional neural network (CNN) model to detect the presence of mesiodens on panoramic radiographs. A total of 628 panoramic radiographs with and without mesiod...
Child ROC Curve Deep Learning Adolescent Radiography, Panoramic Tooth, Supernumerary Retrospective Studies Female Adult Male Humans Neural Networks, Computer
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Analysis of the feasibility of using deep learning for multiclass classification of dental anomalies on panoramic radiographs.

Dental materials journal Aug 23, 2022
The aim of the feasibility study was to construct deep learning models for the classification of multiple dental anomalies in panoramic radiographs. Panoramic radiographs with single supernumerary teeth and/or odontomas were considered the "case" gro...
Deep Learning Odontoma Humans Radiography, Panoramic Feasibility Studies Tooth, Supernumerary
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Detecting the presence of supernumerary teeth during the early mixed dentition stage using deep learning algorithms: A pilot study.

International journal of paediatric dentistry Mar 30, 2022
BACKGROUND: Supernumerary teeth are a common anomaly and are frequently observed in paediatric patients. To prevent or minimize complications, early diagnosis and treatment is ideal in children with supernumerary teeth.
Dentition, Mixed Tooth, Supernumerary Child Deep Learning Algorithms ROC Curve Pilot Projects Humans Retrospective Studies
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Deep learning systems for detecting and classifying the presence of impacted supernumerary teeth in the maxillary incisor region on panoramic radiographs.

Oral surgery, oral medicine, oral pathology and oral radiology Jun 2, 2020
OBJECTIVE: This investigation aimed to verify and compare the performance of 3 deep learning systems for classifying maxillary impacted supernumerary teeth (ISTs) in patients with fully erupted incisors.
Incisor Deep Learning Tooth, Impacted Maxilla Humans Radiography, Panoramic Tooth, Supernumerary
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Current Applications of Artificial Intelligence for Pediatric Dentistry: A Systematic Review and Meta-Analysis.

Pediatric dentistry Jan 15, 2024
To systematically evaluate artificial intelligence applications for diagnostic and treatment planning possibilities in pediatric dentistry. PubMed, EMBASE, Scopus, Web of Science, IEEE, medRxiv, arXiv, and Google Scholar were searched using specifi...
Tooth, Supernumerary Child Oral Health Dental Caries Pediatric Dentistry Artificial Intelligence Child, Preschool Humans
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