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.