Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The Translational Application of AI in Healthcare
0
Zitationen
2
Autoren
2023
Jahr
Abstract
While the prior decade focused on exponential research related to the development of Artificial Intelligence (AI) algorithms for healthcare, in recent years, we are observing increasing validation, the establishment of regulatory standards, and clinical implementation. As various aspects of implementation mature, the focus is likely to shift towards the operational aspects of AI implementation, including evolving fields such as machine learning (ML) operations, value for money evaluation, and the adoption of frameworks for implementation by clinicians. This chapter will discuss the current state of AI implementation in healthcare, evaluation methods, regulatory aspects, and a framework for success.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.393 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.259 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.688 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 · 5.502 Zit.