Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Aligning AI principles and healthcare delivery organization best practices to navigate the shifting regulatory landscape
3
Zitationen
13
Autoren
2025
Jahr
Abstract
As artificial intelligence (AI) becomes further embedded in healthcare, healthcare delivery organizations (HDOs) must navigate a complex regulatory landscape. Health AI Partnership (HAIP) has created 31 best practice guides to inform the development, validation, and implementation of AI products. Here, we map the most common principles found in 8 key AI regulatory frameworks to HAIP recommended best practices to provide practical insights for compliance with expanding AI regulations.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.534 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.423 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.917 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 · 5.582 Zit.