Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial intelligence in hepatology: A comprehensive scoping review of clinical applications, challenges, and future directions
4
Zitationen
1
Autoren
2025
Jahr
Abstract
AI demonstrates strong potential for diagnostic, prognostic, and workflow enhancement in hepatology. Its responsible translation requires multimodal data integration, explainable modeling, prospective and multicenter validation, and equity-focused deployment strategies.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.493 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.377 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.835 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 · 5.555 Zit.