Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Mapping the Landscape of Medical AI Research in Korea Using Topic Modeling
0
Zitationen
2
Autoren
2026
Jahr
Abstract
: These findings indicate that Korean medical AI research is maturing toward a more interpretable, integrated, and human-centered paradigm, underscoring the need for explainable AI (XAI), multidisciplinary collaboration, and governance frameworks for safe and ethical deployment.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.652 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.567 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.083 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.856 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.