Björn van der Ster

Björn van der Ster is a Researcher at Erasmus MC specializing in Intensive Care medicine, with a focus on artificial intelligence applications for critical care monitoring. His work bridges clinical practice and engineering solutions in high-stakes medical environments.

His research centers on patient-ventilator asynchrony detection, hypotension prediction systems, and AI algorithm transparency in medical devices. Key interests include real-time physiological monitoring, early-stage AI development for intensive care, and improving data quality in clinical decision support systems. His fingerprint analysis reveals strong expertise in Artificial Intelligence (100%), Patient-Ventilator Asynchrony (100%), and Early-Stage Algorithm Development (100%).

Recent publications demonstrate significant impact, with 26 Scopus citations for his hypotension prediction research and 8 citations for his work on AI transparency. His articles have generated substantial engagement across academic platforms, including 35 Mendeley readers and social media mentions across X (Twitter), Facebook, and Bluesky.

Collaboration Network:

• Works with leading institutions including Erasmus MC Department of Anesthesiology and Critical Care
• Collaborates internationally on AI validation studies (e.g., with University of California researchers)
• Active in medical algorithm transparency initiatives with Dutch and international policy groups