CUB has been working extensively on developing decision support solutions for neurovascular and cardiovascular diseases and has expertise in image-based mechanistic modelling as well as machine learning for multimodal data assessment.
CUB has also been developing AI-based decision support systems for the last 5 years, with a focus on the translation of modelling approaches into usable clinical applications with a dedicated software development team. For this, a multi-model stream framework has been developed.
CUB has renowned experts in neurovascular medicine and their clinical and research experience will contribute to data preparation, clinical validation and specification of clinical requirements for decision support in stroke. CUB is responsible for overall scientific coordination of the WPs and technical activities of the project (ensuring project’s intermediate and final results are produced timely with an adequate quality level) and decision-making regarding the overall policy and technical strategy of the project.
Additionally, the Charité Lab for AI in Medicine (CLAIM) will be responsible for the Clinical Model Development Work Package (WP2).
Finally, CUB will lead all WP1 tasks designing, implementing and assessing Trustworthy AI guidelines implementation.
Finally, the QUEST center at the Berlin Institute of Health of CUB will lead all WP1 tasks identifying, designing, implementing and auditing requirements for a Trustworthy AI implementation of our solution.
Dietmar Frey is a board-certified neurosurgeon and founding director of CLAIM – the Charité Lab for Artificial Intelligence in Medicine. He was coordinator of the PRECISE4Q project (Personalized Medicine by Predictive Modelling in Stroke for better Quality of Life, #701777), which is funded by the EU framework programme Horizon 2020 with €5.9m. He also coordinates CYLCOMED, a EU-funded project to improve cybersecurity on connected medical devices (2022-25) and is partnering in the EU Horizon Europe project STRATIF-AI. In addition, he is partnering in the BMBF-funded project ANONY-MED in which secure and safe anonymization procedures for medical data are developed, validated and evaluated.
Adam studied Computer Science B.Sc. at the TU Budapest, then completed the Artificial Intelligence M.Sc. at the University of Amsterdam. He is currently enrolled as a PhD in Medical Neurosciences at Charité, Machine Learning Scientist and Lead in the Charite Lab for AI in Medicine (CLAIM) since 2019. He is coordinating Clinical model development in VALIDATE and supports acute stroke model development in STRATIF-AI. His main research direction is data efficiency and decision support in medical AI and specifically specialized in angiographic imaging. He has been working in the stroke field since 2016 in both research and industry.
Jana received an M.Sc. degree in economics from the University of West Bohemia in Pilsen in 2010. After three years in the business world as a financial analyst with PepsiCo, she followed her passion for science and programming and received a second B.Sc. degree in computer science from Beuth University of Applied Sciences Berlin in 2018. Since then she has been a ML Engineer at CLAIM with focus on brain vessel segmentation and annotation in MR images using deep learning.
Vince is a BIH research group lead and principal investigator at the QUEST Centre for Responsible Research at the Berlin Institute of Health (BIH) of Charité Berlin, as well as a visiting Professor of Medical Informatics at Birmingham City University. His research focuses on the intersection of Trustworthy AI and meta-research.
Riana is a post-doctoral scientist with interdisciplinary research skills and interests. She received her PhD in 2022 at the Max-Planck-Institute for Evolutionary Anthropology, and her MSc in 2017 from the Erasmus Mundus Master Programme for Evolutionary Biology. Currently employed at the Berlin Institute for Health’s QUEST Center for Responsible Research, Riana is researching how to improve the translation of ethical AI applications into clinical practice. She is particularly interested in understanding health inequities and the social and economic structures which sustain them.
Valerie is an AI researcher with a background in psychology and ethics, working at the intersection of trustworthy AI, clinical validation, and interdisciplinary research. Her work focuses on developing procedures for AI model refinement and validation to ensure their safe and effective integration into practice. Within the VALIDATE project at the QUEST Centre for Responsible Research (Berlin Institute of Health, Charité), she co-develops and operationalises a comprehensive trustworthy AI framework encompassing all phases of the iterative model lifecycle, from conception and refinement to clinical implementation.
The project team for Responsible Algorithms at the QUEST center (Berlin Institute of Health of CUB) is set to lead all WP1 tasks. The tasks include identifying, designing, implementing, and auditing the requirements for a Trustworthy AI implementation of our solution. To learn more, please visit the website linked below.
