Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Trust in artificial intelligence-based follow-up in hospital information systems: development and validation of a new scale
0
Zitationen
8
Autoren
2025
Jahr
Abstract
The Artificial Intelligence-Based Follow-Up Trust Scale demonstrated strong reliability and validity. This valuable tool can assess trust in artificial intelligence-based follow-up systems, supporting future research and the development of strategies to increase trust and improve follow-up adherence.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.513 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.407 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.882 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 · 5.571 Zit.