Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AI in medicine: Hype, hope, and the path forward
0
Zitationen
2
Autoren
2025
Jahr
Abstract
Artificial intelligence (AI) is rapidly transforming healthcare, with applications ranging from diagnostics and predictive analytics to administrative automation. AI holds immense potential to enhance clinical efficiency and improve patient outcomes; however, its integration into medical practice is not without challenges. Physicians remain divided; some view AI as a powerful tool for augmenting medical decision-making, while others question its reliability, ethical implications, and impact on the physician-patient relationship. This article examines the promise and limitations of AI in medicine, addressing critical concerns surrounding bias, liability, regulatory uncertainty, and physician adoption. It explores how AI is currently being used in healthcare, the barriers preventing its seamless integration, and the governance structures needed to ensure its responsible deployment.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.336 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.207 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.607 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 · 5.476 Zit.