Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial intelligence in healthcare: A call for strategic implementation to maximize impact and minimize costs.
0
Zitationen
1
Autoren
2025
Jahr
Abstract
Artificial Intelligence (AI) is transforming healthcare by improving diagnostics, decision-making, and patient outcomes. This commentary emphasizes the need for strategic AI implementation to maximize benefits while minimizing costs. Although AI can automate routine tasks and freeing clinicians to focus more on patient care, challenges like costs and medicolegal concerns must be addressed. A two-dimensional impact-effort framework is proposed to prioritize AI tools implementation based on their impact and costs.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.100 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.466 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 · 5.429 Zit.