Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Evaluation of the acceptance of artificial intelligence technologies in health with technology acceptance model
0
Zitationen
3
Autoren
2026
Jahr
Abstract
This study contributes contextual evidence regarding the acceptance of artificial intelligence technologies among healthcare professionals and provides managerial insights for the implementation of AI-supported healthcare systems. It also extends the Technology Acceptance Model by integrating real-world usage behaviors into the model and addressing the geographical and methodological limitations of previous research.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.490 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.376 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.832 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 · 5.553 Zit.