Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Healthcare: Bridging Innovation and Regulation
3
Zitationen
2
Autoren
2025
Jahr
Abstract
Regulations must be clear and stringent for both healthcare providers and patients. Regulations have been progressively refined due to identifying weaknesses within the regulatory process. For example, regulatory principles applied to pharmaceuticals have been extended to cover other medical technologies. This paper provides a solid foundation of the meaning of Artificial Intelligence and machine learning as well as the usage of these technologies in healthcare to provide better diagnosis and more personalised medicine. Also, this paper proposes the challenges and regulation in Artificial Intelligence and machine learning in the healthcare domain. This paper emphasises the importance of establishing regulations for artificial intelligence and machine learning to ensure safety in the healthcare domain.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.291 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.143 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.535 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.452 Zit.