Papers
3
Total Citations
112
H-Index
3
About
Bahie Ezzat is a pioneering researcher at the intersection of surgical simulation, 3D printing, and hydrogel casting, with a primary focus on advancing urologic and robotic surgery training. His most significant contributions lie in developing high-fidelity, perfused simulation platforms that replicate complex surgical procedures. Notably, Ezzat led the creation and validation of a robot-assisted partial nephrectomy simulation model, which integrates 3D-printed anatomical structures with hydrogel casting to mimic tissue properties, earning 64 citations for its mechanical and functional realism. He further advanced the field by incorporating clinically relevant performance metrics into a full-immersion simulation platform for nerve-sparing robot-assisted radical prostatectomy (NS-RARP), a work cited 43 times that provides objective benchmarks for surgical skill assessment. Ezzat’s impact extends beyond urology; his bibliometric analysis of the top 100 cited articles in robotic neurosurgery (5 citations) demonstrates his broader interest in mapping the evolution of robotic surgery research. Through these innovations, Ezzat has established himself as a key figure in surgical education, offering trainees realistic, risk-free environments to master delicate robotic techniques. His work not only enhances surgical precision but also sets new standards for simulation-based training, directly improving patient outcomes.
Research Focus
Key Achievements
Top Papers
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