[HTML][HTML] A review of deep learning in dentistry

C Huang, J Wang, S Wang, Y Zhang - Neurocomputing, 2023 - Elsevier
Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …

Personalized dental medicine, artificial intelligence, and their relevance for dentomaxillofacial imaging

KF Hung, AWK Yeung, MM Bornstein… - Dentomaxillofacial …, 2023 - academic.oup.com
Personalized medicine refers to the tailoring of diagnostics and therapeutics to individuals
based on one's biological, social, and behavioral characteristics. While personalized dental …

Deep learning based detection tool for impacted mandibular third molar teeth

ME Celik - Diagnostics, 2022 - mdpi.com
Third molar impacted teeth are a common issue with all ages, possibly causing tooth decay,
root resorption, and pain. This study was aimed at developing a computer-assisted detection …

Evaluation of the diagnostic and prognostic accuracy of artificial intelligence in endodontic dentistry: A comprehensive review of literature

MI Karobari, AH Adil, SN Basheer… - … Methods in Medicine, 2023 - Wiley Online Library
Aim. This comprehensive review is aimed at evaluating the diagnostic and prognostic
accuracy of artificial intelligence in endodontic dentistry. Introduction. Artificial intelligence …

Artificial intelligence in the diagnosis of dental diseases on panoramic radiographs: a preliminary study

J Zhu, Z Chen, J Zhao, Y Yu, X Li, K Shi, F Zhang, F Yu… - BMC Oral Health, 2023 - Springer
Background Artificial intelligence (AI) has been introduced to interpret the panoramic
radiographs (PRs). The aim of this study was to develop an AI framework to diagnose …

A comprehensive artificial intelligence framework for dental diagnosis and charting

T Kabir, CT Lee, L Chen, X Jiang, S Shams - BMC Oral Health, 2022 - Springer
Background The aim of this study was to develop artificial intelligence (AI) guided framework
to recognize tooth numbers in panoramic and intraoral radiographs (periapical and …

Automated detection of dental restorations using deep learning on panoramic radiographs

B Çelik, ME Çelik - Dentomaxillofacial Radiology, 2022 - academic.oup.com
Objectives: Automatically detecting dental conditions using Artificial intelligence (AI) and
reporting it visually are now a need for treatment planning and dental health management …

Deep learning in diagnosis of dental anomalies and diseases: A systematic review

E Sivari, GB Senirkentli, E Bostanci, MS Guzel, K Acici… - Diagnostics, 2023 - mdpi.com
Deep learning and diagnostic applications in oral and dental health have received
significant attention recently. In this review, studies applying deep learning to diagnose …

Applications, functions, and accuracy of artificial intelligence in restorative dentistry: A literature review

F Tabatabaian, SR Vora… - Journal of Esthetic and …, 2023 - Wiley Online Library
Objective The applications of artificial intelligence (AI) are increasing in restorative dentistry;
however, the AI performance is unclear for dental professionals. The purpose of this …

Segmentation of dental restorations on panoramic radiographs using deep learning

C Rohrer, J Krois, J Patel, H Meyer-Lueckel… - Diagnostics, 2022 - mdpi.com
Convolutional Neural Networks (CNNs) such as U-Net have been widely used for medical
image segmentation. Dental restorations are prominent features of dental radiographs …