Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence and Orthodontic Practice
4
Zitationen
4
Autoren
2023
Jahr
Abstract
Artificial intelligence (AI) is a branch of computer science that describes the research and development of simulated human intelligent behavior in machines. Machine learning (ML) is a subset of AI that refers to the computer's ability to learn without being explicitly programmed. In ML, different models generally fall into three different categories: supervised learning, unsupervised learning, and reinforcement learning. Deep learning is the most recent subset of ML, with networks capable of learning unsupervised from unstructured data. This chapter provides an overview of various AI-based applications in orthodontics, introduces the concept of "blockchain" and its potential applications in healthcare, and briefly discusses the ethical implications of using AI technology. AI-based cephalometric analysis is one of the most common applications of AI in orthodontics. Dentofacial orthopedic and orthodontic treatment planning is primarily influenced by the pubertal growth spurt and skeletal maturation.
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 · 3.644 Zit.
The burden of oral disease: challenges to improving oral health in the 21st century.
2005 · 3.579 Zit.
Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri‐Implant Diseases and Conditions
2018 · 3.066 Zit.
Osseointegrated Titanium Implants:<i>Requirements for Ensuring a Long-Lasting, Direct Bone-to-Implant Anchorage in Man</i>
1981 · 2.647 Zit.