Papers
8
Total Citations
82
H-Index
5
About
Ying-Hsu Chang is a urologic surgeon and researcher whose work centers on improving outcomes for patients undergoing robot-assisted surgery for prostate and kidney cancers. His primary research focuses on predicting and managing postprostatectomy urinary incontinence (PPI), a critical quality-of-life issue. Chang’s landmark 2017 study, with 32 citations, identified key predictors of short- and long-term incontinence after robot-assisted radical prostatectomy (RARP). He further advanced this field by developing a specific cystography pattern to forecast incontinence (22 citations) and, most innovatively, by applying artificial intelligence to recognize postoperative cystography features, enabling rapid prediction of functional recovery. Beyond incontinence, Chang has explored how body composition and pelvic fat distribution influence prostate cancer aggressiveness and biochemical recurrence (7 citations). He has also contributed to nephron-sparing surgery, comparing robot-assisted and open partial nephrectomy for renal cell carcinoma (6 citations). His recent work includes a simplified nomogram integrating clinical and imaging parameters for early incontinence recovery prediction. With over 80 total citations, Chang is recognized for blending clinical insight with cutting-edge AI and imaging analytics to personalize surgical prognostication.
Research Focus
Key Achievements
Top Papers
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- 2A Specific Cystography Pattern Can Predict Postprostatectomy Incontinence22 citations · 2015
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