Today, the diagnosis of dementia is given solely on a clinical basis according to the ICD classification (International Classification of Diseases), while a broad neuropsychological identification of severe cognitive symptoms is used. In most European countries, it takes years from the appearance of first subjective cognitive symptoms of dementia until a diagnosis is confirmed. At the same time, personalized medicine in cancer and neurology has several breakthroughs and has gone from concept to reality due to the introduction of supporting artificial intelligence-based technologies. The European Commission emphasizes the importance of “how artificial intelligence and “big” computing can offer such new opportunities to transform our group-based healthcare system” into an individually adapted healthcare system (EU White Paper on Artificial Intelligence, 2020 (1)). Nevertheless, current dementia risk assessments deviate significantly from the ambition to use AI-based predictive and preventive diagnosis and intervention methods. The traditionally used cognitive screening tests for dementia lack sensitivity for MCI (mild cognitive impairment). In addition, they require comprehensive diagnostic neuropsychological options - such as CERAD (Consortium to Establish a Registry for Alzheimer’s Disease) assessment batteries – and experts to administer them and interpret the results. Therefore, there is an urgent need for new approaches. Machine learning and calculation-based brain technology tools have not yet been introduced either at Neurology departments or in dementia research institutions. This may be due to lack of sufficient evidence for the introduction of new technologies because the underlying research is based on a limited data set and/or lack of clinical algorithm validation. There remains a gap between technology providers and clinical practitioners, with a lack of focus and context among the former and a quiet resistance to change among the latter. This can be solved with synergistic clinical research and innovation work between these sectors. To meet the growing need for change in dementia assessment procedures, the interdisciplinary EU project AI-Mind at Oslo University Hospital (www.ai-mind.eu) wants to develop the first artificial intelligence (AI)-based model to diagnose and predict dementia using EEG network analyses, digitized cognitive tests and blood biomarkers in two predictive AI tools (AI-Mind Connector and Predictor). Reference: 1. https://ec.europa.eu/info/sites/default/files/commission-white-paper-artificial-intelligence-feb2020_en.pdf