Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Knowledge, Perception, and Attitude of Dentists Regarding the Role of Artificial Intelligence in Dentistry
0
Zitationen
2
Autoren
2025
Jahr
Abstract
Abstract Objective: This study aims to evaluate the knowledge, perception, and attitude of dentists about the application of artificial intelligence (AI) in dentistry. Subjects and Methods: This is an observational cross-sectional study, in which data will be gathered from a representative sample in Libya. Two hundred and eighty-six participants answered 25 questions. The questionnaire included demographic information about participants knowledge, perceptions, and attitudes toward the use of AI in dentistry. Results: The majority of the participants was females (67.8%). General dental practitioners, specialists, postgraduate dentists, and interns made up 40.6%, 30.1%, 20.3, and 9.0% of the professions, respectively. There is a statistically significant difference in the level of awareness of AI among different age groups ( P = 0.030). As age increases, the awareness of AI also seems to increase, with the highest awareness among the age group 46–60 (95.5%) and >60 years (100%). The results also show that gender ( P = 0.011) and qualification ( P = 0.020) have statistically significant associations with awareness of AI. Our survey results show that AI knowledge (74.4%), perception (75.0%), and attitude (66.0%) are all average. Conclusion: Despite dentists having a good attitude regarding AI, its use and applications were very limited. Therefore, the need to raise awareness of this idea is urgent.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.336 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.207 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.607 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 · 5.476 Zit.