Cephalometric analysis performance discrepancy between orthodontists and an artificial intelligence model using lateral cephalometric radiographs
出版年份 2023 全文链接
标题
Cephalometric analysis performance discrepancy between orthodontists and an artificial intelligence model using lateral cephalometric radiographs
作者
关键词
-
出版物
Journal of Esthetic and Restorative Dentistry
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2023-10-26
DOI
10.1111/jerd.13156
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Artificial intelligence for oral and maxillo-facial surgery: A narrative review
- (2022) Simon Rasteau et al. Journal of Stomatology Oral and Maxillofacial Surgery
- Artificial intelligence models for diagnosing gingivitis and periodontal disease: A systematic review
- (2022) Marta Revilla-León et al. JOURNAL OF PROSTHETIC DENTISTRY
- Evaluation of fully automated cephalometric measurements obtained from web-based artificial intelligence driven platform
- (2022) Ravi Kumar Mahto et al. BMC Oral Health
- Evaluation of automated cephalometric analysis based on the latest deep learning method
- (2021) Hye-Won Hwang et al. ANGLE ORTHODONTIST
- Artificial intelligence-based cephalometric landmark annotation and measurements according to Arnett’s analysis: can we trust a bot to do that?
- (2021) Thaísa Pinheiro Silva et al. DENTOMAXILLOFACIAL RADIOLOGY
- Artificial intelligence applications in restorative dentistry: A systematic review
- (2021) Marta Revilla-León et al. JOURNAL OF PROSTHETIC DENTISTRY
- Accuracy of automated identification of lateral cephalometric landmarks using cascade convolutional neural networks on lateral cephalograms from nationwide multi‐centers
- (2021) Jaerong Kim et al. Orthodontics & Craniofacial Research
- Comparing intra-observer variation and external variations of a fully automated cephalometric analysis with a cascade convolutional neural net
- (2021) In-Hwan Kim et al. Scientific Reports
- Deep learning for cephalometric landmark detection: systematic review and meta-analysis
- (2021) Falk Schwendicke et al. Clinical Oral Investigations
- Artificial Intelligence in Endodontics: Current Applications and Future Directions
- (2021) Anita Aminoshariae et al. JOURNAL OF ENDODONTICS
- Artificial intelligence models for tooth-supported fixed and removable prosthodontics: A systematic review
- (2021) Marta Revilla-León et al. JOURNAL OF PROSTHETIC DENTISTRY
- Artificial intelligence applications in implant dentistry: A systematic review
- (2021) Marta Revilla-León et al. JOURNAL OF PROSTHETIC DENTISTRY
- Realistic high-resolution lateral cephalometric radiography generated by progressive growing generative adversarial network and quality evaluations
- (2021) Mingyu Kim et al. Scientific Reports
- Comparison of cephalometric measurements between conventional and automatic cephalometric analysis using convolutional neural network
- (2021) Sangmin Jeon et al. Progress in Orthodontics
- Critical Analysis of Artificial Intelligence in Endodontics: A Scoping Review
- (2021) Fahad Umer et al. JOURNAL OF ENDODONTICS
- Artificial intelligence and machine learning in orthodontics
- (2021) Takashi Yamashiro et al. Orthodontics & Craniofacial Research
- Assessment of automatic cephalometric landmark identification using artificial intelligence
- (2021) Galina Bulatova et al. Orthodontics & Craniofacial Research
- Web-based fully automated cephalometric analysis by deep learning
- (2020) Hannah Kim et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks
- (2020) Jeong-Hoon Lee et al. BMC Oral Health
- Cascaded convolutional networks for automatic cephalometric landmark detection
- (2020) Minmin Zeng et al. MEDICAL IMAGE ANALYSIS
- Evaluation of an online website-based platform for cephalometric analysis
- (2019) H. Alqahtani Journal of Stomatology Oral and Maxillofacial Surgery
- Automated identification of cephalometric landmarks: Part 1—Comparisons between the latest deep-learning methods YOLOV3 and SSD
- (2019) Ji-Hoon Park et al. ANGLE ORTHODONTIST
- Automated identification of cephalometric landmarks: Part 2-Might it be better than human?
- (2019) Hye-Won Hwang et al. ANGLE ORTHODONTIST
- Artificial intelligence in orthodontics
- (2019) Felix Kunz et al. Journal of Orofacial Orthopedics-Fortschritte der Kieferorthopadie
- Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms
- (2016) Claudia Lindner et al. Scientific Reports
- Validity of 2D lateral cephalometry in orthodontics: a systematic review
- (2013) Ana R Durão et al. Progress in Orthodontics
- Automated Cephalometry: System Performance Reliability Using Landmark-Dependent Criteria
- (2009) Chihiro Tanikawa et al. ANGLE ORTHODONTIST
- Accuracy of cephalometric landmarks on monitor-displayed radiographs with and without image emboss enhancement
- (2009) R. M. Leonardi et al. EUROPEAN JOURNAL OF ORTHODONTICS
- Evaluation of speed, repeatability, and reproducibility of digital radiography with manual versus computer-assisted cephalometric analyses
- (2009) T. Uysal et al. EUROPEAN JOURNAL OF ORTHODONTICS
- Landmark Identification Error in Posteroanterior Cephalometric Radiography
- (2008) Rosalia Leonardi et al. ANGLE ORTHODONTIST
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started