Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial intelligence based techniques for caries risk prediction and assessment: A scoping review
3
Zitationen
9
Autoren
2025
Jahr
Abstract
Of the AI-based CRA models analyzed, machine learning algorithms were most frequently used. This review highlights that AI methods most probably show superior specificity and better performance than traditional methods. The application of these algorithms can have significant implications for the population impacted by pertinent chronic diseases that are avoidable through risk reduction, such as dental caries.
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 · 3.658 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 · 3.101 Zit.
Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri‐Implant Diseases and Conditions
2018 · 3.094 Zit.