Save the date 30. / 31.05. 2024


Das Baltic Sea Health Region Meeting (BSHR) hat sich als Plattform zur Vernetzung mit Experten im Ostseeraum als fester Bestandteil der Nationalen Branchenkonferenz Gesundheitswirtschaft etabliert. Seit der Gründung im Jahr 2011 ist es zur Tradition geworden, diese Session gemeinsam mit ScanBalt, dem Netzwerk der Gesundheits- und Lebenswissenschaften im Ostseeraum, zu organisieren. Zusammen mit der Session des Partnerlandes ist, bildet sie das internationale Forum der Nationalen Branchenkonferenz Gesundheitswirtschaft.


    The potential of AI for the early diagnosis of Alzheimer's - research, law and political standardization
    Artificial intelligence can be a blessing for the medicine of the future. We can use it for the development of new therapies as well as for the early diagnosis of diseases or for the long-term care of patients. Personalized medicine in particular needs the ability to analyze large volumes of data and develop tailored solutions. But there are also high hopes for AI in complex widespread diseases such as Alzheimer's disease - in particular, timely diagnosis should be made easier and faster by analyzing and linking a wide range of everyday parameters. For some, this is an advantage, while others see it more as a threat. In order to fulfill the expectations placed on it, AI must penetrate deep into the reality of our lives - appropriate legal and political regulation is just as necessary as a broad ethical discourse.
    In our session, we will approach this complex topic from 4 different angles: 
    First, Prof. Kiskis will explain the legal and ethical requirements that are necessary for the further development of AI applications. His thesis is that a “free AI” needs the ability to act independently, without being restricted by human prejudices or interests. It must therefore have independent access to sources of information that allow it to explore different perspectives and to develop its own, non-slavish understanding of the world, supported through open dialog with and between people. 
    Mr. Ortwin Schulte, Head of the Medical Device Safety Division of the Federal Ministry of Health, Berlin, will then give us an overview of the European regulation of AI through the “EU AI-Act”.
    This is the first comprehensive regulation on AI proposed by a major international regulatory authority . The final draft of the AI Act was published in January 2024 and has received the approval of the 27 EU member states. This regulation, which is based on the classification of AI into different risk classes, will have a major impact on medical devices and their use in healthcare in particular. 
    Dr. Doreen Görß, physician and research associate for clinical dementia research at the German Center for Neurodegenerative Diseases (DZNE) in Rostock, will give us an overview of the existing research findings on the use of AI in dementia care.
    Using specific examples, such as AI-based decision support for dementia diagnostics or the use of chatbots for the diagnosis of speech-based biomarkers, Dr. Görß will also provide recommendations for the sensible regulation of this application.
    Finally, Ms. Maria Cavalli, Co-Founder of NADIO Scandinavia AB in Sweden, will report on her work with patient groups in the development of digital support tools for Alzheimer's patients. Patients and their relatives can and must be involved in the development of AI solutions at an early stage - this is the only way to ensure that patient concerns are taken into account in future applications. A “retrospective” inclusion of the patient perspective in applications that have already been developed does not appear to make sense, especially given the rapid and disruptive development of AI applications.
    The session will be moderated by Oliver Stenzel, board member of the ScanBalt innovation cluster network of the European EU Baltic Sea states and head of the digitization working group and Sven Parkel, General Secretary of ScanBalt..

    The session is co-organized by ScanBalt and the Interreg Baltic Sea Region Project "Clinical AI-based Diagnostics (CAIDX)".

    19. Nationale Branchenkonferenz Gesundheitswirtschaft