Be your own manufacturer: 3D printing intraoral appliances
Three-dimensional (3D) printing has revolutionized the world of orthodontic manufacturing. Orthodontists are no longer beholden to the limited specifications of traditional orthodontic manufacturing companies and now have a wide variety of customization options for their patients. In this paper, we will discuss orthodontic appliances that are currently 3D printed, many of which orthodontists can start printing in their offices today. Other available 3D printed appliances, which still require commercial printing options, will also be discussed. (Source: Seminars in Orthodontics)
Source: Seminars in Orthodontics - September 7, 2021 Category: Dentistry Authors: Tom Shannon, Christian Groth Source Type: research
Introduction
Approximately every quarter-century, orthodontics undergoes a paradigm shift due to advancements in technology, from Andrews pre-adjusted edgewise brackets in the 1970 ’s to Invisalign aligners and CAD/CAM technology in the late 1990’s and now to three-dimensional (3D) printing and in-office manufacturing happening today. Each leap forward paved the way for the next seismic advancement. (Source: Seminars in Orthodontics)
Source: Seminars in Orthodontics - September 7, 2021 Category: Dentistry Authors: NEAL D KRAVITZ Source Type: research
FMi --- Ed Board
(Source: Seminars in Orthodontics)
Source: Seminars in Orthodontics - September 1, 2021 Category: Dentistry Source Type: research
FMii --- Table of Contents
(Source: Seminars in Orthodontics)
Source: Seminars in Orthodontics - September 1, 2021 Category: Dentistry Source Type: research
Future Issues
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Source: Seminars in Orthodontics - September 1, 2021 Category: Dentistry Source Type: research
Deep learning and computer vision: Two promising pillars, powering the future in orthodontics
Currently, advances and affordability in digital data have increased the demand for expedite and automate several diagnostic and clinical tasks. In this regard, Artificial Intelligence is an extraordinary tool destined to support diagnosis, treatment plan and prognosis and to monitoring the progresses of orthodontic treatments. This paper is intended to help orthodontists in getting familiar with and to provide a breakdown of several of the pioneering applications of AI with special regard to Deep Learning and Computer Vision in orthodontics for continued innovation. (Source: Seminars in Orthodontics)
Source: Seminars in Orthodontics - May 19, 2021 Category: Dentistry Authors: Rosalia Leonardi, Antonino Lo Giudice, Gaetano Isola, Concetto Spampinato Source Type: research
Use of Neural Network Model to Examine Post-Operative Infections Following Orthognathic Surgeries in the United States
The objective of this report is to identify predictors of systemic infections following orthognathic surgeries. We test the hypothesis Neural Network models are better at predicting infections compared to traditional analytical models while using a large number of predictor variables. (Source: Seminars in Orthodontics)
Source: Seminars in Orthodontics - May 19, 2021 Category: Dentistry Authors: Veerasathpurush Allareddy, Min Kyeong Lee, Nikhilesh R. Vaid, Sumit Yadav Source Type: research
An artificial intelligence based referral application to optimize orthodontic referrals in a public oral healthcare system.
An artificial intelligence expert system called the Computational Formulation of Orthodontic referral Decisions (CFOD) was created in order to provide decision-making for orthodontic diagnosis and referral in the Emirates public oral healthcare system. Purpose: The study purposes were to validate and implement the CFOD system, and to quantify GP and pediatric dentist referral patterns to the orthodontist specialist before and after implementation of the CFOD system. Materials& Methods: The CFOD system was created using eight mandatory malocclusion variables and a technology and programming stack including PHP, Codelgniter,...
Source: Seminars in Orthodontics - May 19, 2021 Category: Dentistry Authors: Mariam Mohamed, Donald J. Ferguson, Adith Venugopal, Mohammad Khursheed Alam, Laith Makki, Nikhilesh R. Vaid Source Type: research
Deep Learning and Computer Vision: two promising pillars, powering the future in Orthodontics.
Currently, advances and affordability in digital data have increased the demand for expedite and automate several diagnostic and clinical tasks. In this regard, Artificial Intelligence is an extraordinary tool destined to support diagnosis, treatment plan and prognosis and to monitoring the progresses of orthodontic treatments. This paper is intended to help orthodontists in getting familiar with and to provide a breakdown of several of the pioneering applications of AI with special regard to Deep Learning and Computer Vision in orthodontics for continued innovation. (Source: Seminars in Orthodontics)
Source: Seminars in Orthodontics - May 19, 2021 Category: Dentistry Authors: Rosalia Leonardi, Antonino Lo Giudice, Gaetano Isola, Concetto Spampinato Source Type: research
Decision Support Systems in Temporomandibular Joint Osteoarthritis: A review of Data Science and Artificial Intelligence Applications
With the exponential growth of computational systems and increased patient data acquisition, dental research faces new challenges to manage a large quantity of information. For this reason, data science approaches are needed for the integrative diagnosis of multifactorial diseases, such as Temporomandibular joint (TMJ) Osteoarthritis (OA). The Data science spectrum includes data capture/acquisition, data processing with optimized web-based storage and management, data analytics involving in-depth statistical analysis, machine learning (ML) approaches, and data communication. (Source: Seminars in Orthodontics)
Source: Seminars in Orthodontics - May 19, 2021 Category: Dentistry Authors: Jonas Bianchi, Antonio Ruellas, Juan Carlos Prieto, Tengfei Li, Reza Soroushmehr, Kayvan Najarian, Jonathan Gryak, Romain Deleat-Besson, Celia Le, Marilia Yatabe, Marcela Gurgel, Najla Al Turkestani, Beatriz Paniagua, Lucia Cevidanes Source Type: research
Role of Virtual Reality (VR), Augmented Reality (AR) and Artificial Intelligence (AI) in tertiary education and research of orthodontics: An insight.
Virtual Reality (VR), Augmented Reality (AR) and Artificial Intelligence (AI) are modern days technological phenomenon that are equipped with powerful ability to revolutionize education and research. The present insight not only outlines the caveats of traditional teaching, but explores the current and potential applications of VR, AR, and AI in the field of orthodontic teaching and research. The digital technology world immersed in artificial intelligence not only enhances the ability of both student and educator in assimilating and imparting knowledge, respectively, but also, helps to create a symbiotic relationship with...
Source: Seminars in Orthodontics - May 18, 2021 Category: Dentistry Authors: Narayan H. Gandedkar, Matthew T. Wong, M. Ali Darendeliler Source Type: research
Artificial Intelligence (AI) Driven Orthodontic Care: A quest toward utopia?
Is the orthodontic community on a quest toward utopia? The term “utopia” was coined by Sir Thomas Moore in 1516 to denote “an imagined community that possesses highly desirable or near perfect qualities.”1 However, utopia in current vernacular has come to be known as a community intended to be viewed as considerably better than the existing one.2 B. F. S kinner's utopian vision was the use of empirical methods to search for and discover practices that worked. “Most people want to be free of the responsibility of planning”, according to Professor Frazier, the lead character and utopia's designer in Waldon Two by...
Source: Seminars in Orthodontics - May 17, 2021 Category: Dentistry Authors: Nikhilesh R. Vaid Source Type: research
Use of artificial intelligence to predict outcomes of nonextraction treatment of Class II malocclusions
Maxillary molar distalization is a standard option for nonextraction treatment of Class II malocclusions. The purpose of this study was to develop an automated, artificial intelligence (AI) system to predict the dental, skeletal, and soft tissue changes after nonextraction treatment. Retrospective data and images were obtained for 284 patients who had had nonextraction treatment using modified C-palatal plates. Pre and posttreatment cephalograms were superimposed using the sella and the nasion as reference points. (Source: Seminars in Orthodontics)
Source: Seminars in Orthodontics - May 16, 2021 Category: Dentistry Authors: Jae Hyun Park, Yoon-Ji Kim, Jaehyun Kim, Jinie Kim, In-Hwan Kim, Namkug Kim, Nikhilesh R Vaid, Yoon-Ah Kook Source Type: research
Artificial Intelligence Driven Remote Monitoring of orthodontic patients: Clinical Applicability and Rationale.
Technology plays an increasingly important role in the day-to-day practice of orthodontics. With the exponential development of Artificial Intelligence and communication technologies, there is an increased viability and potential for the remote monitoring of orthodontic treatment which has the potential to yield tremendous benefits to both clinicians and patients. Scholarly scientific validation and investigation of these technologies are yet in infancy, for monitoring to become mainstream and obtain greater acceptance. (Source: Seminars in Orthodontics)
Source: Seminars in Orthodontics - May 16, 2021 Category: Dentistry Authors: Ismaeel Hansa, Vandana Katyal, Steven J. Semaan, Rhonda Coyne, Nikhilesh R. Vaid Source Type: research
Machine learning in the prognostic appraisal of class iii growth
Machine Learning (ML) is an emerging subfield of artificial intelligence with significant resources being applied to connect computer science, statistics, and medical problems. Currently, and even more so in the future, ML algorithms applied to the orthodontic specialty will offer sophisticated and automatic models able to process and synthesize data in ways orthodontists could never do themselves, and ultimately convert data into intelligent treatment actions. This work focuses on the usefulness of two ML methodologies, LASSO networks (Ln), and Boruta selection (Ba), to simplify information from different types of pathoge...
Source: Seminars in Orthodontics - May 16, 2021 Category: Dentistry Authors: Letizia Perillo, Pietro Auconi, Fabrizia d'Apuzzo, Vincenzo Grassia, Marco Scazzocchio, Ludovica Nucci, James A McNamara, Lorenzo Franchi Source Type: research
