Roy Zuidema

Roy Zuidema is a researcher affiliated with the University of Groningen, specializing in vascular and endovascular surgery, medical imaging, and computational anatomy. His work focuses on improving endovascular aneurysm repair (EVAR) through statistical shape modeling and machine learning.

Key research contributions include:

• Geometric analysis of endograft apposition in infrarenal aortic necks.
• Predictive models for late type Ia endoleak risks using machine learning.
• 3D statistical shape modeling of aortic neck anatomy.
• Assessment of sealing zones in EVAR procedures.

His work intersects medical imaging, biomedical engineering, and clinical vascular surgery, with articles emphasizing computed tomography angiography, aneurysm treatment, and device design trends. He received the 2023 Implementatie patiëntenfeedback prize for medical education innovation.