Welcome to Artificial Intelligence for Medical Students, an Erasmus+ partnership helping medical education keep pace with modern healthcare. AIMS brings together universities, healthcare experts and digital learning specialists to build practical and ethical AI skills for future doctors. Through new teaching tools and an interactive digital course, students and educators will explore how AI can support clinical learning, decision making and patient care. Join us as we shape confident, responsible AI use in medicine across Europe.
Artificial intelligence is moving quickly from research labs into everyday healthcare. It can support clinicians to spot patterns in medical images, prioritise cases, reduce administrative burden, and improve how information is managed across services. But using AI well is not automatic. It requires knowledge, confidence and strong professional judgement.
Many medical students will graduate into workplaces where AI tools are already present, yet they may have had little opportunity to learn what these systems do, how they are trained, where they perform well, and where they can fail. Educators face a similar challenge.
The AIMS Synergy Matrix is a curriculum mapping tool that shows where Artificial Intelligence fits across undergraduate medical subjects. It includes a clear visual matrix, a short explanatory report, and practical case studies that show real uses of AI in healthcare. It is developed with input from AI and medical technology experts, then reviewed by academic leaders to ensure it is relevant for curriculum planning. The final resource is published digitally for wide use through the project channels.
The AIMS Competency Framework defines the AI knowledge, skills and attitudes medical students should develop, with a strong focus on safe and ethical practice. It sets out both technical and non-technical competencies, along with progressive levels that support step by step learning across a degree programme. It also includes guidance on how competencies can be assessed, helping educators align learning outcomes with teaching and evaluation. The framework gives medical schools a shared reference point for curriculum updates and consistent delivery.
The AIMS Teaching Kit turns the competency framework into practical teaching and learning. It includes a Teacher’s Guide of 25 plus pages, along with at least 20 interactive learning activities and simulations organised by AI application and medical discipline. These resources are designed to be easy to adapt for different modules and teaching styles, including classroom and clinical learning settings. The kit is tested with educators, refined based on feedback, and published as open resources in accessible formats, with translation for wider uptake.
The AIMS Digital Course is an interactive online course that builds medical students’ AI literacy through applied learning. It covers foundations of AI, real clinical applications, and the ethical and regulatory issues that shape responsible use in healthcare. Learning is supported through realistic scenarios, clinical simulations, and tools such as chatbots or virtual assistants, helping students practise interpretation and judgement. The course is piloted with 350 students, improved through evaluation, and then published for wider use across medical schools.
