Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Decoding Deep Learning applications for diagnosis and treatment planning
10
Zitationen
2
Autoren
2022
Jahr
Abstract
INTRODUCTION: 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. OBJECTIVE: This article exposes and describes the different methods by which orthodontics may benefit from a more widespread adoption of these technologies.
Ähnliche Arbeiten
The long-term efficacy of currently used dental implants: a review and proposed criteria of success.
1986 · 3.692 Zit.
The Gingival Index, the Plaque Index and the Retention Index Systems
1967 · 3.660 Zit.
The burden of oral disease: challenges to improving oral health in the 21st century.
2005 · 3.579 Zit.
Staging and grading of periodontitis: Framework and proposal of a new classification and case definition
2018 · 3.113 Zit.
Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri‐Implant Diseases and Conditions
2018 · 3.104 Zit.