Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
When Artificial Intelligence Disagrees With the Doctor, Who’s Right? The Answer Might Not Be So Evident
1
Zitationen
3
Autoren
2020
Jahr
Abstract
Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts Funding/Support: None reported. Financial Disclosures: None reported. Correspondence: Haytham Kaafarani, M.D., M.P.H., Department of Surgery, Massachusetts General Hospital, Harvard Medical School, 165 Cambridge St, Suite 810, Boston, MA, 02114. E-mail: [email protected]
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 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 · 5.438 Zit.