Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The Adoption and Integration of Artificial Intelligence in Diagnostics Across Europe
0
Zitationen
12
Autoren
2025
Jahr
Abstract
Background: Artificial intelligence (AI) is increasingly integrated into diagnostic pathways across Europe, particularly within precision oncology. However, adoption remains uneven across regions. Methods: This review draws on national registries, institutional reports, reimbursement frameworks, and scientific literature to assess AI-based diagnostic tools, liquid biopsy technologies, and molecular tumor boards across European healthcare systems, focusing on breast, lung, and colon cancer. Results: Countries such as France, Germany, and Sweden demonstrate more advanced clinical integration of AI tools, whereas many Central and Eastern European healthcare systems face infrastructural, regulatory, and financial challenges. AI is inconsistently included in national clinical guidelines, and regulatory fragmentation continues to hinder broader uptake. Conclusion: Harmonized regulatory frameworks, expanded reimbursement strategies, targeted investments, and increased public-private collaboration are needed to reduce disparities and ensure equitable access to AI-enhanced precision oncology diagnostics across Europe.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.214 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.071 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.429 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.418 Zit.