Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Integration of ChatGPT in medical learning: An analysis of interaction and contradictions
0
Zitationen
6
Autoren
2025
Jahr
Abstract
Challenges like AI unreliability and skill gaps are contradictions that function as catalysts for expansive learning. Resolving these tensions requires systemic transformation, including formalizing prompt engineering training and redefining the educator's role from an information provider to an essential expert validator within a new collaborative practice.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.553 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.444 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.943 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.792 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.