Prime Highlights
- 74% of EU countries are using AI for diagnostics in healthcare systems.
- Governments are increasing focus on AI training and workforce readiness.
Key Facts
- The World Health Organization Regional Office for Europe conducted the first EU-wide review on AI in healthcare.
- 81% of EU nations are involving stakeholders in shaping AI governance policies.
Background
Artificial intelligence has been growing within healthcare systems of the European Union, as 27 out of its member states cited better treatment of their patients as one of the main drivers of implementation of this innovation, revealed in a new report from the World Health Organization Regional Office for Europe. Most of the nations surveyed have been applying the innovations.
This survey, conducted between mid-2024 and early 2025, found that more than 74 % of EU countries were using artificial intelligence for diagnosing diseases. This helps in medical imaging and clinical decision-making. In addition, 63 % of countries have adopted AI-powered chatbots to improve patient engagement and communication.
The organization reported that countries are developing their workforce training programs because AI technologies are becoming increasingly used in the healthcare sector. AI-related education is gradually being included in medical coursework and continued professional training by governments. This aims to help healthcare workers understand the technology, use it responsibly, and maintain quality care.
The report also highlighted the significance of stakeholders’ participation in making decisions. Approximately 81% of countries within the European Union have started involving their healthcare experts, policymakers, and other stakeholders in governing AI. Broader public involvement, including patients, can help build trust and ensure that AI systems meet real needs.
The organisation recommended that governments take further steps to strengthen AI adoption. These will include enhancing ethical and data training, promoting transparency and inclusivity in policy-making, and establishing centers where AI tools can be evaluated and standardized.
From the results, it can be noted that although the adoption of AI is increasing gradually, planning and collaboration are still critical for its safe implementation.
