Karel Van Regemorter
Papers
2
Total Citations
12
H-Index
2
About
Karel Van Regemorter is a researcher at the forefront of surgical data science, with a focused expertise in robot-assisted surgery and clinical informatics. His work centers on leveraging data-driven methodologies to enhance surgical precision and patient outcomes, particularly in the domain of urological oncology. Van Regemorter’s most significant contribution is his pioneering investigation into surgical phase duration during robot-assisted partial nephrectomy. By exploring the correlation between the time spent in specific surgical phases and clinical parameters at diagnosis, he has introduced a novel metric for surgical skill assessment and feedback. His 2023 paper on this topic, which has garnered a combined 12 citations, is among the first to critically assess the accuracy of commercial platforms that provide phase indications. This work bridges the gap between raw surgical data and actionable clinical relevance, offering a new lens for evaluating operative efficiency and teaching. Van Regemorter’s research is instrumental in advancing the field of surgical data science, providing foundational insights that promise to refine how surgeons learn, perform, and are evaluated in the operating room.
Research Focus
Key Achievements
Top Papers
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- 2