AI is rapidly transforming medical research — but how can you develop models that have meaningful impact in the clinic? This symposium focuses on practical AI applications in healthcare sciences, featuring technical insights, real-world case studies, and good practices in AI development.
This event moves beyond surface-level discussions to explore concrete applications of AI in your research. Whether you’re refining existing AI methods or looking to integrate AI into your research, this is an opportunity to connect with early-career researchers and gain valuable insights.
Join us at EMC for a day filled with exciting (neural) networking!
Program:
12.30 - Walk-in13.00 - Opening Gennady Roshchupkin Gennady is an Assistant Professor and Computational Population Biology group leader at Erasmus MC. His research focused on development and application of methods for the integrative analysis of large-scale biological, epidemiological and clinical data.
13.15 - AI in clinical practice: Insights and implementation Michel van Genderen – AI in clinical practice Since 2021, Michel has been working as a staff member in the Intensive Care Unit at Erasmus MC. He focuses on applying advanced analytics (artificial intelligence and machine learning) and other innovative techniques (such as virtual reality) to improve healthcare.
Martijn Starmans - The FUTURE-AI guideline: How to design your AI tool in a trustworthy way towards clinical value and implementation Martijn is an Assistant Professor at the Departments of Radiology & Nuclear Medicine and Pathology at Erasmus MC, leading the AI for Integrated Diagnostics (AIID) research line. His work focuses on developing multimodal machine learning models focused on medical imaging and application in oncology, in collaboration with international consortia.
14.00 - Case presentation: EEG & AI Robert van den Berg - AI predicts outcome after cardiac arrest in children Robert is a neurologist and principal investigator of the Clinical Neurophysiology AI Lab of the Erasmus MC. In collaboration with the TU Delft, they develop AI applications for diagnosis and prognosis in neurological disorders using the large amount of brain activity measurements (EEG) available at Erasmus MC.
14.30 - Coffee break
15.00 - AI in clinical practice: Development and application Eris van Twist - Sleep monitoring in the PICU via supervised and unsupervised learning As a clinical technologist and researcher at the NICU-PICU of Erasmus MC, Eris specializes in leveraging data-driven approaches to tackle clinical challenges and/or optimize quality of care. Her expertise includes signal analytics, machine learning and dashboarding.
15.30 - Interactive session Connect with fellow researchers and discover how others are applying AI in their work.
16.30 - Networking drinks
Location: OWR-36 Costs: Free Sign up: click here
Hope to see you there! Your AI Symposium organizing team: Frank te Nijenhuis, Gonzalo Mosquera Rojas, Govert van der Gun (ICAI), Jamie Verwey (ICAI), Karen van der Werff, Mirthe Kamphuis, Willemijn Berkhout (ICAI), Xinyi Wan
