Papers
14
Total Citations
208
H-Index
9
About
Young Goo Lee is a distinguished South Korean urologic surgeon and researcher whose work sits at the intersection of robotic surgery, urologic oncology, and artificial intelligence. He has made foundational contributions to the adoption and refinement of robot-assisted radical cystectomy (RARC) in Korea, helping establish the KORARC multicenter database — a landmark collaborative infrastructure that has enabled rigorous analysis of outcomes across hundreds of bladder cancer patients at up to twelve institutions. His early work documenting Korea's first RARC series (32 citations) helped legitimize the technique regionally, while subsequent studies have examined critical clinical questions including the benefits of intracorporeal versus extracorporeal urinary diversion, the impact of intraoperative fluid management on recovery, and predictors of postoperative complications. More recently, Lee has emerged as a pioneer in applying deep learning to robotic surgery, with highly cited work (27 citations) on real-time semantic segmentation during prostatectomy — a development with significant implications for surgical safety and automation. His comparative analyses of CNN and transformer architectures further demonstrate sophisticated technical engagement with AI methodology. Alongside broader reviews of artificial intelligence in urologic oncology, his body of work — spanning over 170 cumulative citations — reflects a career dedicated to advancing both the precision and intelligence of modern urological care.
Research Focus
Key Achievements
Top Papers
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- 4Applications of artificial intelligence in urologic oncology23 citations · 2024
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