Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Influence of AI Decision Support on Radiologists’ Performance and Visual Search in Screening Mammography
11
Zitationen
12
Autoren
2025
Jahr
Abstract
Radiologists improved their performance at screening mammography when using artificial intelligence for decision support, focusing more on suspicious areas without requiring additional reading time.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.773 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.682 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.242 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.898 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Autoren
Institutionen
- Radboud University Nijmegen(NL)
- University Medical Center(US)
- Radboud University Medical Center(NL)
- Amsterdam University Medical Centers(NL)
- Haga Hospital(NL)
- Gelre Hospitals(NL)
- Maastricht University Medical Centre(NL)
- Maastricht University(NL)
- Diakonessenhuis hospital(NL)
- Canisius-Wilhelmina Ziekenhuis(NL)
- University of California, Santa Barbara(US)
- Dutch Expert Centre for Screening(NL)
- University of Twente(NL)