ChatMED is pleased to announce the upcoming ChatMED Summer School: Neurology and AI Fusion, which will take place in Sokobanja, Serbia, from 27–31 May 2026. Organized within the framework of the ChatMED project, funded under Grant Agreement ID: 101159214, the Summer School will bring together participants from medicine, computer science, and AI research to explore how generative AI and large language models can support clinical reasoning in neurology.
The five-day programme is designed as an intensive interdisciplinary learning experience, combining clinical foundations, AI concepts, practical demonstrations, and team-based project work. Participants will engage with core neurological topics such as neurological examination, lesion localization, differential diagnosis, neurodiagnostic tools, cerebrovascular diseases, epilepsy, headache, dementia, and movement disorders. Through case-based discussions, the Summer School will support a deeper understanding of how clinical-anatomical reasoning can be translated into structured, AI-supported workflows.
A special focus of the programme will be placed on the role of AI in healthcare and its practical implications for clinicians. Sessions will address how AI and LLM systems may change daily clinical work, what doctors should and should not expect from current AI systems, how clinicians can interact with AI as a collaborative tool, and what AI-augmented clinical reports may look like.
The Summer School will also include dedicated discussions on data quality, patient data responsibilities, regulation, the EU AI Act, medical device regulation, liability, and accountability — all crucial aspects for the responsible development and deployment of AI in medical settings.
One of the highlights of the agenda will be “ChatMED in vivo: The first live demonstration of the project interface!” During this session, participants will explore what ChatMED aims to achieve, how the interface addresses clinical needs, and how real cases can be processed end-to-end through the system. Participants will also have the opportunity to test the interface on prepared scenarios and provide feedback.
The programme will conclude with team presentations, expert feedback, and a discussion on future collaboration, publication opportunities, and further data collection. By combining lectures, demonstrations, mentoring, and hands-on teamwork, the ChatMED Summer School aims to strengthen interdisciplinary capacity and support the next generation of AI-driven medical innovation.
