Kiyoshi Takahara
Papers
20
Total Citations
195
H-Index
9
About
Kiyoshi Takahara is a leading urologic surgeon and researcher whose work centers on advancing robotic surgery for urologic cancers, particularly prostate and bladder cancer. His major contributions include pioneering the use of deep learning and machine learning models—analyzing preoperative MRI and intraoperative video—to accurately predict urinary continence recovery after robot-assisted radical prostatectomy, a breakthrough that personalizes patient counseling and surgical planning. He has also systematically evaluated the benefits of nerve-sparing techniques, demonstrating improved pentafecta outcomes (continence, potency, cancer control, margins, and complications) in high-risk prostate cancer cases. In renal surgery, Takahara’s research on robot-assisted partial nephrectomy for high-complexity and cystic tumors has defined predictors for achieving trifecta outcomes (cancer control, renal function preservation, and complication avoidance). His comparative studies confirm the superiority of robotic over open approaches for partial nephrectomy and cystectomy, with enhanced recovery protocols reducing postoperative ileus in frail patients. With papers accumulating over 150 citations, Takahara’s work directly shapes clinical guidelines and surgical practice, making him a pivotal figure in the evolution of minimally invasive urologic oncology.
Research Focus
Key Achievements
Top Papers
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