Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Knowledge, Attitude, and Usage of Artificial Intelligence and Machine Learning By the Dentists in Riyadh: A Cross-Sectional Survey
0
Zitationen
5
Autoren
2025
Jahr
Abstract
Artificial Intelligence (AI) and Machine Learning (ML) have great potential to revolutionize healthcare, including dentistry, by improving diagnostic accuracy and treatment planning. However, the adoption and integration of these technologies in dental practices, particularly in Riyadh, Saudi Arabia, remain limited. This study aims to assess Riyadh-based dentists’ current knowledge, attitudes, and readiness to incorporate AI and ML into their clinical practice. A total of 416 participants, inclu
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.438 Zit.