The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 4 of 27
Back to Result List

Applications of artificial intelligence in orthodontics — an overview and perspective based on the current state of the art

Please always quote using this URN: urn:nbn:de:bvb:20-opus-310940
  • Artificial intelligence (AI) has already arrived in many areas of our lives and, because of the increasing availability of computing power, can now be used for complex tasks in medicine and dentistry. This is reflected by an exponential increase in scientific publications aiming to integrate AI into everyday clinical routines. Applications of AI in orthodontics are already manifold and range from the identification of anatomical/pathological structures or reference points in imaging to the support of complex decision-making in orthodonticArtificial intelligence (AI) has already arrived in many areas of our lives and, because of the increasing availability of computing power, can now be used for complex tasks in medicine and dentistry. This is reflected by an exponential increase in scientific publications aiming to integrate AI into everyday clinical routines. Applications of AI in orthodontics are already manifold and range from the identification of anatomical/pathological structures or reference points in imaging to the support of complex decision-making in orthodontic treatment planning. The aim of this article is to give the reader an overview of the current state of the art regarding applications of AI in orthodontics and to provide a perspective for the use of such AI solutions in clinical routine. For this purpose, we present various use cases for AI in orthodontics, for which research is already available. Considering the current scientific progress, it is not unreasonable to assume that AI will become an integral part of orthodontic diagnostics and treatment planning in the near future. Although AI will equally likely not be able to replace the knowledge and experience of human experts in the not-too-distant future, it probably will be able to support practitioners, thus serving as a quality-assuring component in orthodontic patient care.show moreshow less

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar Statistics
Metadaten
Author: Felix Kunz, Angelika Stellzig-Eisenhauer, Julian Boldt
URN:urn:nbn:de:bvb:20-opus-310940
Document Type:Journal article
Faculties:Medizinische Fakultät / Poliklinik für Kieferorthopädie
Medizinische Fakultät / Poliklinik für Zahnärztliche Prothetik
Language:English
Parent Title (English):Applied Sciences
ISSN:2076-3417
Year of Completion:2023
Volume:13
Issue:6
Article Number:3850
Source:Applied Sciences (2023) 13:6, 3850. https://doi.org/10.3390/app13063850
DOI:https://doi.org/10.3390/app13063850
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:age determination by skeleton; artificial intelligence; cephalometry; deep learning; machine learning; orthodontics; orthognathic surgery; tooth extraction
Release Date:2024/02/01
Date of first Publication:2023/03/17
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International