• Treffer 1 von 1
Zurück zur Trefferliste

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

Zitieren Sie bitte immer diese 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.zeige mehrzeige weniger

Volltext Dateien herunterladen

Metadaten exportieren

Weitere Dienste

Teilen auf Twitter Suche bei Google Scholar Statistik - Anzahl der Zugriffe auf das Dokument
Metadaten
Autor(en): Felix Kunz, Angelika Stellzig-Eisenhauer, Julian Boldt
URN:urn:nbn:de:bvb:20-opus-310940
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Medizinische Fakultät / Poliklinik für Kieferorthopädie
Medizinische Fakultät / Poliklinik für Zahnärztliche Prothetik
Sprache der Veröffentlichung:Englisch
Titel des übergeordneten Werkes / der Zeitschrift (Englisch):Applied Sciences
ISSN:2076-3417
Erscheinungsjahr:2023
Band / Jahrgang:13
Heft / Ausgabe:6
Aufsatznummer:3850
Originalveröffentlichung / Quelle:Applied Sciences (2023) 13:6, 3850. https://doi.org/10.3390/app13063850
DOI:https://doi.org/10.3390/app13063850
Allgemeine fachliche Zuordnung (DDC-Klassifikation):6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Freie Schlagwort(e):age determination by skeleton; artificial intelligence; cephalometry; deep learning; machine learning; orthodontics; orthognathic surgery; tooth extraction
Datum der Freischaltung:01.02.2024
Datum der Erstveröffentlichung:17.03.2023
Lizenz (Deutsch):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International