Amsterdam University Medical Centre (Amsterdam UMC) is a leading Dutch academic medical center with a strong focus on patient care, scientific research and education. With over 16,000 staff across two locations and eight research institutes, Amsterdam UMC is dedicated to disease prevention and the treatment of rare and complex disorders.
Amsterdam UMC acts as the medical faculty for its two partner universities: the University of Amsterdam and Vrije Universiteit Amsterdam. Its expertise in medical informatics, artificial intelligence and interdisciplinary collaboration makes Amsterdam UMC a valuable partner in the development and deployment of AI-driven healthcare solutions.
Why is Amsterdam UMC relevant to AIXPERT?
Within the AIXPERT project, Amsterdam UMC contributes to Work Package 7 (WP7), “Use case deployment, operation, validation and assessment”. As leader of Task 7.2 “Towards XAI-enabled Clinical Decision Support Systems (CDSS)”, Amsterdam UMC aims to develop and evaluate XAI-enabled CDSS solutions in clinical settings, with a strong focus on quality, clinical guideline adherence and shared decision-making between clinicians and patients.
Within Task 7.2, Amsterdam UMC will focus on:
- Clinical accuracy, including the ability of the AIXPERT XAI-CDSS to provide correct, complete and guideline-aligned treatment recommendations
- Transparency and explainability, ensuring that AI decision-making processes are understandable to both clinicians and patients
- Usability and user experience (UX), including integration into existing clinical workflows
- Patient engagement, supporting patients’ understanding of personalised care plans
- Clinical impact, such as reducing medical errors, improving patient outcomes and enhancing treatment adherence
As part of this task, Amsterdam UMC will gather clinician and patient feedback through follow-up focus group discussions, seminars, tutorials, questionnaires and pilot training programmes.
In addition, Amsterdam UMC is also part of other WPs, including WP1-2 and 8.
Meet the Team
Bio
Cardiologist, Prof. of Translational Data Science at the University of Amsterdam, Chair of Amsterdam Heart Center, Prof. of Precision medicine at the Institute of Health Informatics, University College London, Associate Editor European Heart Journal.
Professor Folkert Asselbergs is an internationally recognised cardiologist and scientist whose work bridges clinical medicine, genomics, and data science to advance precision cardiovascular care. He published over 700 papers and is editor of the textbook “Clinical Applications of Artificial Intelligence in Real-World Data”. He is coordinator and co-PI in several(inter-) national consortia in the field of trustworthy AI, translation data science and digital health. In his role as Chair of the Digital Cardiology & Artificial Intelligence (DCAI) Committee of the European Society of Cardiology, Professor Asselbergs helps steer the development of a comprehensive roadmap for the responsible implementation of AI in cardiology.
Bio
Noman is a postdoctoral researcher at Amsterdam UMC with a background in pharmacy, working at the intersection of AI and cardiology. He holds a PhD in Medical Informatics and specializes in risk prediction models, natural language processing, with a particular focus on the application of large language models to cardiovascular health. His research centers on automated information extraction and the development of guideline-aligned clinical decision support to aid evidence-based decision-making.
Bio
Machteld received training in technical medicine and specialised in signal processing. Machteld completed a PhD on electrocardiographic imaging in inherited cardiomyopathies with the University of Utrecht in The Netherlands. Her current research focuses on the implementation of data standardisation and natural language processing techniques for the reuse of electronic health record data for research purposes and the safe and trustworthy application of novel AI-based techniques within the clinical workflow.
Bio
Gini Raaijmakers has a background in Technical Medicine, a joint-degree program between TU Delft, Erasmus MC, and LUMC. Her combined in-depth clinical knowledge and advanced technical and analytical skills enable her to bridge the gap between healthcare and technology. This is relevant for her work on the AIXPERT project, where the technical XAI-CDSS tool will be evaluated in clinical practice.