Practical consequences of the European union-AI act for anatomic pathology laboratories a European society of pathology and European society of digital and integrative pathology commissioned expert opinion paper

Deman, F; Palmieri, S; Broeckx, G; Den Berghe, TV; Zlobec, I; Schirmacher, P; Oliveira, SP; Di Tommaso, L; Zerbe, N; L&#39;Imperio, V; Declercq, S; Den Bulcke, MV; Waeytens, A; Salgado, R; Dendooven, A

Author(s): Deman, F; Palmieri, S; Broeckx, G; Den Berghe, TV; Zlobec, I; Schirmacher, P; Oliveira, SP; Di Tommaso, L; Zerbe, N; L'Imperio, V; Declercq, S; Den Bulcke, MV; Waeytens, A; Salgado, R; Dendooven, A;
Details: Publication Year 2026-04,Volume 488,Issue #4,Page 789-799
Journal Title: Virchows Archiv
Publication Type: Guideline
Abstract: The European Union Artificial Intelligence Act (AI Act) introduces a landmark regulatory framework governing the development, deployment, and post-marketing requirements and maintenance of AI systems, with growing relevance for the field of digital pathology. This paper explores the practical implications of the AI Act for pathology laboratories, particularly in relation to high-risk AI tools used in diagnostic workflows. We outline the Act's risk-based classification approach and highlight key obligations for both AI developers and users, including requirements for transparency, explainability, risk management, data governance, human oversight, and staff training. Special attention is given to how these regulatory demands relate to existing healthcare standards and implemented quality systems in anatomic pathology laboratories. By translating the AI Act's legal language into concrete, pathology-specific recommendations, this work provides guidance supporting safe and effective AI integration in clinical practice. While the legislation introduces operational and administrative challenges, it also presents an opportunity to enhance accountability, trust, and innovation in pathology. This paper aims to equip anatomic pathology laboratories with the tools and insights needed to responsibly navigate the evolving regulatory landscape of AI in healthcare.
Publisher: Springer Nature
Keywords: Humans; European Union; *Artificial Intelligence/legislation & jurisprudence; *Pathology, Clinical/legislation & jurisprudence; Ai; Guidance; Legislation; Pathology
Department(s): Laboratory Research
Publisher's Version: https://doi.org/10.1007/s00428-025-04291-3
Open Access at Publisher's Site: https://doi.org/10.1007/s00428-025-04291-3
Terms of Use/Rights Notice: Refer to copyright notice on published article.

Creation Date: 2025-11-06 02:44:48

Last Modified: 2026-04-14 03:18:15