[HTML][HTML] Deep learning and artificial intelligence in dental diagnostic imaging

A Katsumata - Japanese Dental Science Review, 2023 - Elsevier
The application of artificial intelligence (AI) based on deep learning in dental diagnostic
imaging is increasing. Several popular deep learning tasks have been applied to dental …

Applications of artificial intelligence in the analysis of dental panoramic radiographs: an overview of systematic reviews

N Turosz, K Chęcińska, M Chęciński… - Dentomaxillofacial …, 2023 - academic.oup.com
Objectives: This overview of systematic reviews aimed to establish the current state of
knowledge on the suitability of artificial intelligence (AI) in dental panoramic radiograph …

[HTML][HTML] Evaluation of an Artificial Intelligence web-based software to detect and classify dental structures and treatments in panoramic radiographs

M Bonfanti-Gris, A Garcia-Canas, R Alonso-Calvo… - Journal of dentistry, 2022 - Elsevier
Objectives To evaluate the diagnostic reliability of a web-based Artificial Intelligence
program on the detection and classification of dental structures and treatments present on …

Automated Detection System Based on Convolution Neural Networks for Retained Root, Endodontic Treated Teeth, and Implant Recognition on Dental Panoramic …

SL Chen, TY Chen, YC Mao, SY Lin… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
For a daily dental practice, the Panoramic (PANO) X-ray film is one of the most commonly
used dental X-rays. One of its important advantages is the coverage of most anatomic …

Classification of the relationship between mandibular third molar and inferior alveolar nerve based on generated mask images

Y Joo, SY Moon, C Choi - IEEE Access, 2023 - ieeexplore.ieee.org
In recent dentistry research, deep learning techniques have been employed for various
tasks, including detecting and segmenting third molars and inferior alveolar nerves, as well …

An artificial intelligence model for instance segmentation and tooth numbering on orthopantomograms.

N Adnan, W Bin Khalid, F Umer - International Journal of …, 2023 - search.ebscohost.com
Aim: To develop a deep learning (DL) artificial intelligence (AI) model for instance
segmentation and tooth numbering on orthopantomograms (OPGs). Materials and methods …

Performance evaluation of three versions of a convolutional neural network for object detection and segmentation using a multiclass and reduced panoramic …

M Bonfanti-Gris, A Herrera, S Paraíso-Medina… - Journal of Dentistry, 2024 - Elsevier
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 …

Automatic detection and classification of nasopalatine duct cyst and periapical cyst on panoramic radiographs using deep convolutional neural networks

HS Lee, S Yang, JY Han, JH Kang, JE Kim… - Oral Surgery, Oral …, 2024 - Elsevier
Objective The aim of this study was to evaluate a deep convolutional neural network
(DCNN) method for the detection and classification of nasopalatine duct cysts (NPDC) and …

Application of cone beam computed tomography in risk assessment of lower third molar surgery

YY Leung, KF Hung, DTS Li, AWK Yeung - Diagnostics, 2023 - mdpi.com
Risks of lower third molar surgery like the inferior alveolar nerve injury may result in
permanent consequences. Risk assessment is important prior to the surgery and forms part …

Convolutional neural network-based automatic cervical vertebral maturation classification method

H Li, Y Chen, Q Wang, X Gong, Y Lei… - Dentomaxillofacial …, 2022 - academic.oup.com
Objectives: This study aimed to develop a fully automated artificial intelligence-aided
cervical vertebral maturation (CVM) classification method based on convolutional neural …