Papers
21
Total Citations
216
H-Index
10
About
Kenji Zennami is a leading urologic oncologist whose research centers on optimizing surgical outcomes in robot-assisted procedures for prostate and bladder cancers. His work has fundamentally advanced the understanding of nerve-sparing techniques in robot-assisted radical prostatectomy (RARP), demonstrating through large-scale propensity score-matched studies that nerve-sparing approaches significantly improve pentafecta outcomes—encompassing continence, potency, cancer control, and complication avoidance. Zennami has also pioneered the use of artificial intelligence in urologic surgery, developing deep learning models that analyze preoperative MRI and intraoperative video to predict urinary continence recovery after RARP with remarkable accuracy. His contributions to robot-assisted partial nephrectomy (RAPN) for high-complexity renal tumors have established predictors for achieving trifecta outcomes, while his comparative studies of intracorporeal versus open radical cystectomy have clarified perioperative and long-term survival benefits. With over 150 citations across his most influential papers, Zennami’s work at the intersection of surgical technique, predictive analytics, and patient-reported outcomes is shaping the future of minimally invasive urologic oncology.
Research Focus
Key Achievements
Top Papers
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