About the Symposium
The global healthcare system is struggling with aging populations, complex health conditions, rising expectations, and increasing costs. The current approach still relies on patients initiating the healthcare process. This approach often results in missed early disease detection, inefficient resource use, and high costs. There is a need for a new healthcare model emphasizing continuous, preventive care and transforming patients into participants in their health. Artificial Intelligence (AI) has the potential to facilitate this shift.
In the third edition of the Symposium on AI in Medicine and Healthcare we will explore how AI can revolutionize healthcare over the next decade, shifting from reactive care to proactive, preventive, and personalized approaches. Discussions will highlight AI’s role in enhancing diagnostic accuracy, disease prognosis, and medical decision-making while mitigating biases, and improving healthcare accessibility and operational efficiency. Beyond technical advancements, the symposium will also address ethical, policy, and regulatory considerations in AI adoption, ensuring responsible integration into clinical practice. Through keynote lectures, expert discussions, and networking opportunities, attendees will gain insights into the latest AI innovations, real-world applications, and global success stories that are shaping the future of medicine and healthcare.
The organizing team: Pietro Bonizzi, Rachel Cavill, Bas Lemmens, Esther Breuls
Speakers
Michel Dumontier Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, co-founder of the Department of Advanced Computing Sciences, and co-founder of the influential FAIR (Findable, Accessible, Interoperable and Reusable) Data Principles. His research focuses on computational learning and reasoning towards drug discovery and personalized medicine. He is coordinator for the REALM project to build a regulatory sandbox for (AI) medical software devices, Principal Investigator (PI) for the AIDAVA project to create an AI assistant in the curation of personal health knowledge graphs, PI for the ARPA-H CHARM project, and a PI for the iCare4CVD IHI Project. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies. His commitment to responsible discovery science and data-driven healthcare solutions positions him as a leading figure in the digital transformation of health and medicine.
Carlos Cardenas Dr. Carlos Cardenas is an Associate Professor and Director of Automated Treatment Planning in the Department of Radiation Oncology at the University of Alabama at Birmingham (UAB), and also serves as the Director of Artificial Intelligence Research and Development for the Marnix E. Heersink Institute for Biomedical Innovation at UAB. His research centers on leveraging artificial intelligence and medical image analysis to streamline and enhance radiotherapy treatment planning. In particular, he has contributed significantly to automated planning tools—helping translate these AI-driven methods into clinical use to improve efficiency and quality of care. Dr. Cardenas has co-authored more than 100 peer-reviewed publications on the development, validation, and implementation of AI-based solutions in medical imaging and radiotherapy.
Program
Programme
Day 1
8:30 – 9:00 Registration
9:00 – 9:30 Opening ceremony
9:30 – 10:30 Michel Dumontier (Maastricht University) – Generating (useful) synthetic data for health AI
10:30 – 11:00 Networking break
11:00 – 12:00 Carlos Cardenas (University of Alabama at Birmingham) – Killing cancer with code: Translating AI solutions from academic hospitals to community clinics
12:00 – 13:30 Lunch
13:30 – 14:30 Lars Eijssen and Jarno Koetsier (Maastricht University) – AI for diagnosis and prognosis of neurological disorders
14:30 – 15:30 Alphons Vincent (Medtronic) – What is the role of AI in implantable cardiac monitors?
15:30 – 16:00 Networking break
16:00 – 17:00 Rachel Cavill (Maastricht University) – 1+1=5? : How combining biomedical datasets allows us to learn much more
Day 2
8:45 – 9:00 Welcome to second day
9:00 – 10:00 Henry Woodruff (Maastricht University) – AI in medical imaging research and clinical workflow
10:00 – 10:30 Networking break
10:30 – 11:30 Konstantia Zarkogianni (Maastricht University) – Decision intelligence in healthcare: Combating bias for better outcomes
11:30 – 12:00 Closing ceremony
Source: Symposium