Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Embrace with caution: The limitations of generative artificial intelligence in responding to patient health care queries
3
Zitationen
3
Autoren
2024
Jahr
Abstract
Generative artificial intelligence offers promising avenues for patient education, but its current limitations necessitate a cautious and well informed approach to use. The health care system must adapt to emerging technologies while also striving to deliver timely and patient friendly communication and build trust with the populations they intend to serve.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.214 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.071 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.429 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 · 5.418 Zit.