Xiaowei Dai

First Bethune Hospital of Jilin University

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About

Xiaowei Dai is a clinical researcher whose work centers on improving surgical outcomes in urologic oncology, with a particular focus on robotic-assisted procedures. His primary research areas include predictive modeling for postoperative complications, evidence-based surgical practice, and patient quality of life after prostate cancer treatment. Dai’s most cited work, a systematic review on prediction models for urinary incontinence after robotic-assisted laparoscopic radical prostatectomy (2024), has garnered 5 citations, establishing a foundation for personalized risk assessment in prostate cancer surgery. This contribution is notable for synthesizing existing predictive tools and highlighting gaps in clinical application, directly informing how surgeons counsel patients about recovery expectations. By systematically evaluating factors that influence continence outcomes, Dai’s research helps bridge the gap between surgical technique and patient-centered care. His work reflects a commitment to translating clinical data into actionable insights, making him a valuable voice in the ongoing effort to refine robotic surgery protocols and enhance long-term functional results for prostate cancer survivors.