Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The role of interdisciplinary collaboration and artificial intelligence in radiology residency education
0
Zitationen
5
Autoren
2025
Jahr
Abstract
<0.01).ConclusionThe findings underscore the benefit of combining technology-driven exercises with collaborative, multispecialty learning to strengthen clinical competence. Future research should examine how such AI-based interventions influence long-term performance and how they can be adapted to different training environments.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.646 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.554 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.071 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.851 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.