During the session, Yanti Danoekoesoemo will discuss with Folkert Asselbergs and Ivana Isgum what can go wrong with AI in healthcare, but Asselbergs and Išgum will also illustrate the opportunities of AI in healthcare with practical examples. For example, the concept of digital twins where people can calculate their own risk for diseases and predict possible effect of medication or lifestyle. In addition, some examples will be given of responsible AI in healthcare. Ivana's current research aims at enhancing patient care by designing and enabling leading-edge AI technologies in healthcare, especially in the fields of radiology, cardiology, and neonatology. 

Folkert Asselbergs is a cardiologist and professor at the Amsterdam UMC, where he accelerates the application of artificial intelligence in healthcare. Asselbergs is also a professor at University College London and chairs the data infrastructure working group of the Dutch Cardiovascular Alliance. His research focuses on using big data and artificial intelligence to redefine disease definition and advance drug development and personalized medicine through advanced big-data analysis in patients with cardiovascular disease. He also researches "generative AI", such as ChatGPT, which can be seen as a virtual assistant that can talk and write like a human. Finally, he is concerned with the responsible use of AI in healthcare by, for example, contributing to the FUTURE-AI initiative, which has developed guidelines for the implementation of reliable AI tools in healthcare.

Ivana Išgum is a Distinguished Professor in AI and Medical Imaging at the University of Amsterdam. She has appointments at the University Medical Center Amsterdam – location AMC (Departments of Biomedical Engineering and Physics & Radiology and Nuclear Medicine) and Faculty of Science (Informatics Institute), where she leads Quantitative Healthcare Analysis (qurAI) group, an interfaculty research group embedded in Faculties of Medicine and Science. Ivana obtained her PhD in 2007 at the Utrecht University. She then worked as a PostDoc in the Leiden University Medical Center and subsequently UMC Utrecht, where she became an Assistant Professor in 2012, and an Associate Professor in 2015. At the Image Sciences Institute of UMC Utrecht, Ivana led the Quantitative Medical Image Analysis (QIA) group, focusing on the development of algorithms for quantitative analysis of medical images to enable automatic patient risk profiling and prognosis using techniques from the fields of machine learning and deep learning. In 2019 Ivana moved with her group to Amsterdam University Medical Center – location AMC, University of Amsterdam.