WHO/Europe has released a new report assessing the rapidly evolving use of artificial intelligence (AI) in health care across the 27 European Union (EU) Member States. The first comprehensive review of its kind, the report reveals strong and consistent momentum across EU Member States, with all 27 countries recognizing improved patient care as a driver of AI development and the majority already deploying AI tools in clinical settings.
The report, produced as part of a multi-year funding agreement with the European Commission, builds on a recent WHO/Europe regional report, published in late 2025, by zooming in on the 27 EU Member States specifically.
Based on data collected between June 2024 and March 2025, the report points to a landscape in which health systems across the region are actively building the foundations needed to harness these technologies safely, equitably and responsibly.
Nearly three quarters of EU countries are already using AI-assisted diagnostics, including tools that support medical imaging, disease detection and clinical decision-making.
Nearly half of EU Member States have already created dedicated professional roles for AI and data science in health, and several countries have indicated plans to introduce or expand AI training programmes in the near future. The findings also point to clear priorities for continued investment as AI adoption accelerates across the region.
While 74% of EU countries report using AI in diagnostics and 63% use chatbots to support patient engagement, the region is now focused on ensuring workforce training keeps pace, with countries increasingly integrating AI literacy into both pre-service education and continuous professional development. This focus on skills and preparedness reflects a broader commitment across EU Member States to ensure that the rapid adoption of AI in clinical settings translates into better patient outcomes, with health professionals equipped to critically engage with these technologies, maintain high standards of care and uphold accountability in AI-assisted decision-making.
