Nearly three-quarters of European Union countries are currently utilising AI-assisted diagnostics to support medical imaging, disease detection, and complex clinical decision-making processes.
This finding comes from a comprehensive new WHO/Europe report, which represents the first in-depth review of artificial intelligence adoption across the entire region. Consequently, the majority of EU Member States are now deploying advanced digital tools in clinical settings to ensure that patients receive high-quality, modern care.
Consistent Momentum Across Member States
All 27 EU countries recognise that improving patient care serves as the primary driver for developing and implementing AI tools within their national health systems. While 74% of countries report using AI for diagnostics, approximately 63% currently utilise chatbots to support and enhance daily patient engagement. Furthermore, nearly half of the Member States have already created dedicated professional roles specifically for AI and data science within their healthcare sectors.
Preparing the Healthcare Workforce
As adoption accelerates, the region is now focusing on ensuring that workforce training keeps pace with the rapid introduction of these sophisticated new technologies. Countries are increasingly integrating AI literacy into both pre-service education and continuous professional development to equip health professionals with necessary technical skills. This focus on preparedness ensures that clinicians can critically engage with AI tools while maintaining high standards of care and upholding professional accountability.
Governance and Public Trust
Currently, 81% of EU Member States actively involve stakeholders in shaping AI governance, which significantly exceeds the average across the broader WHO European Region. The report encourages wider consultation with patients and the public to strengthen trust and ensure that AI tools reflect the diverse needs of users. Ultimately, systems developed with meaningful public input are better placed to earn lasting trust and support equitable health outcomes for every citizen.
Analysis: Balancing Innovation with Accountability
The rapid integration of AI into clinical settings represents a pivotal moment for European healthcare, yet it brings significant ethical and legal challenges for clinicians. Doctors remain legally responsible for decisions supported by technologies they may not fully understand, highlighting a critical gap in current medical education frameworks. Therefore, the EU’s upcoming comprehensive legal framework for AI must align innovation with robust safeguards to ensure that technology enhances, rather than replaces, human judgement.
WHO Recommendations for Future Readiness
The report highlights three key areas where governments should focus their efforts to ensure the safe and equitable implementation of artificial intelligence in health.
- Workforce Readiness: Governments must prioritise education on AI fundamentals, ethics, and data governance for all health professionals to ensure safe clinical use.
- Inclusive Engagement: Policymakers should involve health professionals, patients, and the general public in the development of AI policies to foster transparency and trust.
- Centres of Excellence: Establishing dedicated centres of excellence will allow nations to test technologies, share best practices, and develop common safety standards for implementation.
Q&A: The Future of AI in the EU
Q: How many EU countries are currently using AI for medical imaging?
A: According to the WHO report, nearly 74% of EU countries are already using AI-assisted tools for diagnostics, including medical imaging and disease detection.
Q: Are medical chatbots common in Europe?
A: Yes, 63% of EU Member States reported using chatbots to support patient engagement and provide immediate information to those seeking medical assistance.
Q: Who is legally responsible for a diagnosis made with AI?
A: Clinicians remain legally and ethically responsible for medical decisions, even when they are supported by AI technologies that the professional might not fully understand.
Frequently Asked Questions (FAQ)
What is the main driver for AI adoption in the EU?
All 27 EU Member States identified the improvement of patient care as the primary motivation for developing and deploying AI within their health systems.
Why is public input important for AI development?
Systems developed without public input may face resistance or exacerbate health inequities, whereas inclusive development earns lasting trust and supports better outcomes for all.
What percentage of EU countries involve stakeholders in AI governance?
Approximately 81% of EU Member States involve stakeholders in shaping AI governance, which is higher than the average for the broader WHO European Region.
What are “Centres of Excellence” in this context?
These are specialised hubs proposed by the WHO to test new technologies, share best practices, and develop common standards for safe and equitable implementation.
How is AI training being integrated into medical education?
Several countries are introducing AI literacy into pre-service education and professional development to ensure that health workers can critically and safely engage with new technologies.
