Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Access and Reimbursement for Artificial Intelligence in Radiology: The Asian Oceanian Society of Radiology Perspective
0
Zitationen
1
Autoren
2026
Jahr
Abstract
Countries such as Japan, South Korea, and Singapore lead AI adoption in radiology, supported by robust infrastructure and policy frameworks.In contrast, rural and underserved regions face significant barriers, including limited connectivity and workforce shortages.Addressing these disparities is essential to ensure that AI benefits reach all communities.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.400 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.261 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.695 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 · 5.506 Zit.