Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
"Why Patients Should Teach Medical Professionals How to Use AI in Healthcare" (Preprint)
0
Zitationen
7
Autoren
2024
Jahr
Abstract
<sec> <title>UNSTRUCTURED</title> Efforts to regulate AI and educate clinicians to implement ethical and trustworthy AI have rarely included patient perspectives on how and when AI should be used. This gap puts patients at risk and leaves trainees unprepared to integrate AI into patient care. We discuss the need for new approaches that integrate patient perspectives into the training of health professionals to foster an inclusive and patient-centered future of AI in healthcare. </sec>
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.402 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.270 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.702 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 · 5.507 Zit.