On 28-29 October, partners from the AI-Mind project convened in Madrid, Spain, for the 9th General Assembly, hosted by the Complutense University of Madrid (UCM). The event brought together over 50 in-person participants and around 20 online attendees, offering an invaluable platform to review project progress, tackle challenges, and outline the next steps toward bringing Artificial Intelligence (AI)-based dementia risk prediction tools into clinical practice. Work package leaders presented updates on recent achievements including preliminary analysis of data collected within the study. The assembly also served as an excellent platform for a workshop on the Collective Evaluation of Experience, Explainability, and Practices in AI-Mind, facilitating collaborative discussions on refining AI-Mind tools to meet real-world clinical needs.
Discussions of the 9th GA focused on:
• Collaboration with European and global projects that is vital for the sustainability and future adoption of our comprehensive project data.
• Stakeholder involvement and preparing European health systems and legislation for the integration of AI-based dementia tools as well as dementia risk management.
• Clinical relevance and positioning AI-Mind in dementia and mild cognitive impairment (MCI) diagnostic pathways.
• Diversity within AI-Mind harnesses the project’s heterogeneity to strengthen outcomes and broaden impact.
The assembly also featured insightful guest lectures from leading experts. Paolo Maria Rossini (IRCCS San Raffaele) delivered an insightful talk on “Why and where neurophysiological approaches are more informative than ‘traditional’ neuroimaging,” emphasising the diagnostic potential of advanced neurophysiological methods. Giovanni Frisoni (Hôpitaux Universitaires de Genève) discussed the evolving landscape of Alzheimer’s disease treatment and prevention, including the current practices of the memory clinics and the need to focus on risk assessment, communication and reduction. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964220.
https://www.ai-mind.eu/blog/reporting-from-ai-mind-9th-general-assembly/
