ReviewVirchows Archiv : an international journal of pathology2026
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.
Review in Virchows Archiv : an international journal of pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Guidance for laboratory implementation, governance and continuous assurance of artificial intelligence in histopathology.Virchows Archiv : an international journal of pathology · 2026Review
- What practicing pathologists and oncologists should know about the new computational pathology-based companion diagnostic tools.The Journal of pathology · 2026Review
- The patient matters: a roundtable discussion on pathology in the era of digitization and AI.Virchows Archiv : an international journal of pathology · 2026Article
- Artificial intelligence in membranous nephropathy: transforming clinical management toward precision medicine.Frontiers in medicine · 2026Review
- From compliance to clinical value: an EU AI Act-aligned playbook for digital pathology laboratories.Virchows Archiv : an international journal of pathology · 2025Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.