Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Development and evaluation of a retrieval-augmented large language model framework for enhancing endodontic education
6
Zitationen
8
Autoren
2025
Jahr
Abstract
This proposed framework improves educational outcomes through precise and context-aware knowledge delivery. Furthermore, it represents a scalable and transferable model for AI-enhanced clinical training across medical specialties, significantly advancing competency-based pedagogy in dental education.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.231 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 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 · 5.423 Zit.