Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Differences in Expert Perspectives on AI Training in Medical Education: Secondary Analysis of a Multinational Delphi Study
2
Zitationen
5
Autoren
2025
Jahr
Abstract
Unlabelled: In this secondary analysis of a multinational Delphi study, experts from low- and middle-income countries were less likely than those from high-income countries to consider artificial intelligence (AI) learning outcomes mandatory in preregistration medical education, potentially reflecting underlying global inequalities in medical AI education and highlighting the need for adaptable AI competency frameworks.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.786 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.700 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.270 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.908 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.