Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Exploring Stakeholder Requirements to Enable Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Results of a Multistep Mixed Methods Study
2023·5 Zitationen·JMIR Formative ResearchOpen Access
Volltext beim Verlag öffnen5
Zitationen
4
Autoren
2023
Jahr
Abstract
RR2-10.2196/42208.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.527 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.419 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.909 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 · 5.578 Zit.
Autoren
Institutionen
Themen
Artificial Intelligence in Healthcare and EducationEthics in Clinical ResearchTelemedicine and Telehealth Implementation