Decoding Deep Learning applications for diagnosis and treatment planning

Artificial Intelligence (AI), Machine Learning and Deep Learning are playing an increasingly significant role in the medical field in the 21st century. These recent technologies are based on the concept of creating machines that have the potential to function as a human brain. It necessitates the ga...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Dental press journal of orthodontics 2023, Vol.27 (5), p.e22spe5-e22spe5
Hauptverfasser: Retrouvey, Jean-Marc, Conley, Richard Scott
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Artificial Intelligence (AI), Machine Learning and Deep Learning are playing an increasingly significant role in the medical field in the 21st century. These recent technologies are based on the concept of creating machines that have the potential to function as a human brain. It necessitates the gathering of large quantity of data to be processed. Once processed with AI machines, these data have the potential to streamline and improve the capabilities of the medical field in diagnosis and treatment planning, as well as in the prediction and recognition of diseases. These concepts are new to Orthodontics and are currently limited to image processing and pattern recognition. This article exposes and describes the different methods by which orthodontics may benefit from a more widespread adoption of these technologies.
ISSN:2176-9451
2177-6709
2177-6709
DOI:10.1590/2177-6709.27.5.e22spe5