Artificial intelligence is rapidly becoming part of modern healthcare systems, offering new tools for diagnosis, research and hospital management, while also raising complex questions about ethics, regulation and equality.
Across Europe, health authorities are increasingly experimenting with AI-driven technologies designed to analyse medical data, support clinical decisions and reduce administrative burdens for healthcare professionals.
Countries such as Finland, Estonia and Spain have already introduced AI applications into their health systems. These technologies are used for tasks ranging from training medical staff and analysing large health datasets to detecting diseases at earlier stages.
Health experts broadly agree that while AI can transform medical practice, it is not intended to replace doctors or nurses.
“Artificial intelligence is already shaping healthcare for millions of professionals and patients,” said Hans Kluge, the World Health Organization’s Regional Director for Europe. However, he warned that without clear strategies and safeguards, technological advances could also create new inequalities within health systems.
Growing role across health systems
Healthcare systems worldwide are facing increasing pressure due to ageing populations and shortages of medical staff. In this context, AI tools are being introduced to help streamline workloads and improve efficiency.
Some hospitals in Europe are already using AI-powered transcription tools, allowing doctors to automatically record consultations and reduce time spent on paperwork.
Other projects focus on diagnostic support, where AI systems can analyse medical images or patient records to assist doctors in identifying diseases more quickly and potentially improving early treatment outcomes.
International initiatives are also expanding the use of AI in healthcare. Earlier this year, the Gates Foundation and OpenAI announced a joint initiative to invest around $50 million in developing AI healthcare tools for African countries, starting with primary healthcare clinics in Rwanda.
Concerns over data and regulation
Despite its potential, the rapid development of AI technologies in healthcare has prompted growing concerns among experts.
One major issue involves data privacy, particularly because AI systems rely on large volumes of sensitive medical and biological information.
Researchers have also warned that AI tools, including large language models, may sometimes produce inaccurate or misleading medical guidance, especially when used without professional supervision.
Another concern relates to the data used to train AI systems. If algorithms are developed using non-representative datasets, they may produce biased results that could affect certain populations more than others.
The World Health Organization has also pointed out that regulatory frameworks are still evolving. According to recent findings, only around 8% of countries have adopted national strategies specifically addressing the use of AI in healthcare.
As the technology continues to develop, experts argue that the debate is shifting beyond what AI can achieve medically. Instead, attention is increasingly focused on who controls the data, how algorithms are trained, and how the technology should be regulated.
These issues are expected to be central topics of discussion at the Euronews Health Summit in Brussels on 17 March, where specialists from across the health and technology sectors will explore the future of AI in European healthcare.
