Angelia DeClue
Papers
1
Total Citations
13
H-Index
1
About
Angelia DeClue is a urologic surgeon and researcher whose work centers on advancing robotic surgical education and simulation. Her primary research focus is the development and validation of realistic, accessible training models for robot-assisted partial nephrectomy, a complex kidney-sparing procedure. DeClue’s major contribution is demonstrating the effectiveness of an ex vivo porcine model as a high-fidelity, low-cost simulation tool. In her most cited work (2020, 13 citations), she validated this model using the Global Evaluative Assessment of Robotic Skills (GEARS) tool, showing significant improvements in resident technical performance and confidence. This study, conducted at a high-volume tertiary center, provides a practical framework for integrating simulation into residency curricula without relying on expensive commercial systems. By rigorously assessing both face and construct validity, DeClue has helped bridge the gap between dry-lab training and live surgery. Her work directly addresses the growing demand for efficient, outcomes-driven robotic training, offering a reproducible model that can be adopted by other institutions. For students and researchers in surgical education, DeClue’s research exemplifies how thoughtful simulation design can enhance skill acquisition and patient safety.
Research Focus
Key Achievements
Top Papers
- 1