Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
<scp>AI</scp> ‐Generated <scp>MCQs</scp> for Pre‐Doctoral Oral and Maxillofacial Radiology: Acceptable Efficiency With Cognitive‐Level Limitations
0
Zitationen
5
Autoren
2026
Jahr
Abstract
While ChatGPT-4o can generate MCQs, its output often requires refinement. Future research should explore ways to improve the quality and cognitive level of AI-generated questions for dental education.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.418 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.288 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.726 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.516 Zit.