Fall Event 2023

Artificial Intelligence in the cardiovascular field

AI in cardio

Date: 24 November 2023

Location: In de Driehoek, Utrecht

Attendance is free!

With the rise of ChatGPT, it’s become clear that artificial intelligence (AI) plays a significant role in our daily activities. While AI has been around for a while, its impact was often unnoticed or very subtle, especially in fields like research and healthcare. Many were unaware of AI’s influence until ChatGPT made it more visible and accessible to the public. This visibility has sparked new interest and innovation in how we use AI across various sectors. However, it also raises important questions: How reliable are AI tools? What legal rules apply to AI? What are the future possibilities with AI?

Our upcoming Fall Event will address these topics. We’ve invited knowledgeable speakers to provide insights into the world of AI, ensuring the content is both informative and approachable. There will be general discussions about AI, as well as focused sessions on its role in research, healthcare, and education.

We will keep updating the program for a bit. In the meantime, stay updated through our channels on Instagram, X, LinkedIn, or by subscribing to our newsletter.


Preliminary program

10:00Session I  
  Cecile WolfsIntroduction to AI
  Daniel BosThe value of AI in cardiovascular research
  Vincent de LusenetThe 5 crucial points to create an innovative culture
12:20Session II  
  Matthijs CluitmansThe impact of artificial intelligence on our daily work as scientists or healthcare professionals
  Anne de HondRacist robots: how (un)fair is AI?
  Gennady RoshchupkinThe Art of AI-Driven Healthcare
  Sezer KaraogluA Beat Ahead: Transforming Healthcare with Cutting-edge AI
14:15Parallel sessions  
 EducationVincent de LusenetThe value of authenticity versus working with AI
  Matthijs CluitmansCan a chatbot help medical consultation training?
 HealthcareAnne de HondSafe for work? Implementation challenges of AI in healthcare
  Bauke ArendsApplying AI to the ECG – from bench to bedside
 Basic researchMichiel Adriaens“Computer says “maybe”: useful machine learning tools for molecular cardiology”
15:30Session III  
  Peter de JaegereTBA
 KeynoteWillem JonkerGenerative AI: balancing innovation and regulation
16:55Closure + drinks  

If you’ve registered for a parallel session but can’t attend, please email us. This allows us to offer your spot to another participant.

Information on speakers and sessions

Vincent de Lusenet - Moderator

Vincent de Lusenet is a trainer and coach and works with teams, organisations, and individuals on leadership skills, change management, and team development. Topics that he always wants to cover in his sessions include innovation, mindset, and new ways of maintaining strong leadership by working on people’s skills. His sessions are always dynamic, energetic, creative and connective. 
Vincent has been moderator of several previous Young@Heart events, which has resulted in a warm and inspiring collaboration throughout the years. 
Vincent has worked with a large variety of clients which includes health care institutions, corporate multinationals and educational organisations. He also is a keynote speaker during inspirational sessions, onboardings and conferentions such as the Young at Heart events. 

Last but not least, Vincent is very much looking forward to the Young@Heart Fall event with the topic Artificial Intelligence because he believes that it is necessary to hold the conversation about this innovation that is, indeed, unstoppable. How can we see AI as our useful and profitable friend, rather than as our enemy or even being engulfed a our blind spot where we don’t know where authenticity begins and ends. 

Matthijs Cluitmans

Matthijs Cluitmans is a scientist at both Maastricht University and Philips Research. His primary academic drive is to explore the mechanisms underlying cardiac arrhythmias that lead to sudden cardiac arrest. In his translational approach, he intertwines academia, industry, and medicine. Beyond his research endeavors, Matthijs Cluitmans also contributes his interdisciplinary insights to the TransformingMed.Tech newsletter, a platform for sharing innovations in medical technology. He has explored how AI is going to change our work in science and healthcare with experiments on chatbots, computer models, and education.

Cecile Wolfs

Cecile Wolfs studied at Maastricht University, where she obtained a BSc degree in Liberal Arts and Sciences (University College Maastricht, major in mathematics and computer science) and a MSc degree in Operations Research (Department of Data Science and Knowledge Engineering). During her master’s, she became interested in applying mathematics to problems in healthcare, which led her to pursue a PhD in the Physics Research division of Maastro/Department of Radiation Oncology of Maastricht University. In September 2020, she completed her PhD “Quantitative methods for improved error detection in dose-guided radiotherapy”. Currently, she works as a postdoctoral researcher at Maastro, focusing on applying physics and artificial intelligence to improve radiotherapy treatment.

Daniel Bos

Daniel Bos is an experienced epidemiologist (B) in the field of cardio- and cerebrovascular disease, with a specific expertise in medical imaging. After finishing his medical studies in 2010, he performed his PhD research at both the Departments of Radiology and Epidemiology, at Erasmus MC, which led to his dissertation (2013) titled: Atherosclerotic Calcification: Determinants and Clinical Neurological Consequences. Concomitantly, he finished his Master of Science in clinical epidemiology in 2012 at NIHES. After working as a resident in Radiology, he became a fulltime scientist (Associate Professor) at the Department of Radiology & Nuclear Medicine, and the Department of Epidemiology at Erasmus MC. He also holds a position as Adjunct Associate Professor in Clinical Epidemiology at the Harvard T.H. Chan School of Public Health and as Professor in Cardiovascular Sciences at the University of Leuven. Daniel will speak about the value of AI in cardiovascular research, with an emphasis on cardiovascular imaging.

Michiel Adriaens

Michiel Adriaens is an Assistant Professor at the Maastricht Centre for Systems Biology. Trained as a bioinformatician, he has a background in genetic and epigenetic regulation of gene expression and alternative splicing, specifically in the context of human nutrition, metabolism, and heart failure. One of his ongoing efforts is to combine data-driven (AI) and mechanistic modeling approaches to predict and better understand the development of metabolic impairments in the failing heart. This results in the heart becoming exhausted, leading to life-threatening complications. His goal is to develop the systems biology tools to detect these metabolic problems early and provide guidance for prevention and patient-specific recovery.

Anne de Hond

Anne de Hond is an assistant professor in the data science program of the Julius Center at the UMC Utrecht. She completed a master’s degree in econometrics and worked as a data scientist and researcher in the AI-team at Leiden UMC’s CAIRELab during her PhD studies. Her research focuses on the responsible development, validation, and implementation of AI algorithms in healthcare. Amongst other applications, she developed AI models to predict hospital admission at the emergency department and deterioration in heart patients with home monitoring data. She also collaborated with various AI-startups to investigate the practical implementation of their software. Her current research interests include validation methods for clinical AI, including large language models like ChatGPT, as well as explainability and fairness of AI algorithms. She has collaborated with Stanford University on the topic of algorithmic fairness.

Gennady Roshchupkin

Gennady Roshchupkin is Assistant Professor and Computational Population Biology group leader at one of the largest research medical hospitals in Europe, Erasmus MC Medical Center. His research focused on developing and application of methods for the integrative analysis of large-scale biological, epidemiological and clinical data. Gennady has a broad background in statistics, computer science, machine learning, deep learning, medical image analysis and genomics. 

Bauke Arends

Bauke Arends is a PhD student in the Cardiology department at UMC Utrecht. He earned his Master’s degrees in Medicine and Health Economics from the University of Groningen and Erasmus University Rotterdam, respectively. During his Master’s studies, he became involved in the application of AI to healthcare data using routinely collected clinical data. His current research entails various stages of AI algorithm development applied to the ECG, covering different patient populations.

Sezer Karaoglu

Dr. Sezer Karaoglu is Co-Founder and CTO of 3DUniversum, technology spin-off of UvA providing state-of-the art Artificial Intelligence solutions. Sezer is also a part-time postdoctoral researcher at Computer Vision Lab, UvA. His research area is artificial intelligence with the focus on Computer Vision and Synthetic Media. He has numerous publications in top-tier Computer Vision Journals and Conferences and regularly joins research and industry conferences as an invited speaker. He is actively involved in the media. He passionately combines research and practice of computer vision technologies (fairfake.aideeptherapy.aiwescan.io).

Parallel sessions


We discuss the harmony of technology and human touch in the education session. Being a clinician, teacher, or researcher can be supported with AI, but we must always remain human in the process. Vincent de Lusenet will initiate the discussion, emphasizing the importance of authenticity in education. He’ll explore how genuine connections and mutual respect between teachers and students form the bedrock of a nurturing learning environment. Following him, Matthijs Cluitmans will illuminate how AI tools, like chatbots, can complement this environment, enhancing learning efficiency while fostering student insights.


Implementing AI in clinical practice involves challenges such as regulatory compliance, data privacy and quality, clinical validation, ethical dilemmas, user acceptance, and interdisciplinary collaboration. In the healthcare session, Anne de Hond will explore the challenges of implementing AI in clinical practice. It’s more than just creating a model for patient use. Bauke Arends will delve deeper, discussing his research on using AI to evaluate ECGs.

Basic Science

We’ll dive deep into the transformative potential of artificial intelligence in basic (biomedical) research. While the immediate application of AI in patient care garners much attention, its impact in foundational biomedical research is equally profound. We will explore the untapped possibilities of AI in driving the next wave of biomedical breakthroughs with Michiel Adriaens

If you’ve registered for a parallel session but can’t attend, please email us. This allows us to offer your spot to another participant.

Organizing committee
Maximiliaan Notenboom
Reda Rhellab
Martijn Hoes