Michael Strøm

Michael Strøm serves as a Clinical Associate Professor within the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences. His institutional affiliation combines clinical practice at the Capital Region of Denmark (Region Hovedstaden) with academic responsibilities in medical education and research.

Dr. Strøm's research program focuses on the critical intersection of surgical simulation and artificial intelligence, specifically targeting endovascular procedures. He pioneers machine learning applications for objective proficiency assessment in aortic repair simulations, addressing fundamental challenges in surgical training standardization. His work bridges computational science with hands-on clinical skills development, emphasizing data-driven evaluation methods that transcend traditional subjective assessments.

His 2024 publication in Current Problems in Surgery demonstrates a clear research trajectory toward AI-enhanced surgical education, with growing emphasis on quantitative performance metrics and real-time feedback systems. This work reflects broader trends in medical technology where computational methods increasingly validate clinical competencies.

Dr. Strøm actively collaborates with the ENHANCE research consortium on vascular surgery innovation. While specific advising roles aren't detailed in available materials, his research output indicates leadership in interdisciplinary projects merging clinical expertise with engineering solutions. His institutional position suggests integration within both university academic structures and regional hospital training programs.