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About

Xianghong Zhou is a leading researcher at the intersection of urologic oncology and artificial intelligence, with a primary focus on revolutionizing prostate cancer care through intelligent medicine. His work centers on three key areas: the evolution of robot-assisted surgery, AI-driven predictive modeling for postoperative outcomes, and the integration of emerging technologies like brain-computer interfaces and virtual reality into surgical practice. Zhou’s landmark 2024 paper, “Intelligent medicine in focus: the 5 stages of evolution in robot-assisted surgery for prostate cancer,” has already garnered 21 citations, establishing a comprehensive framework for understanding two decades of surgical innovation. He has pioneered the use of interpretable AI methods, notably applying Captum to predict postoperative urinary incontinence from MRI anatomical parameters—a contribution that addresses the critical challenge of model transparency in medical deep learning. Zhou has also developed predictive models for quality of life following robot-assisted radical prostatectomy, directly tackling the debilitating complications of urinary incontinence and erectile dysfunction that affect thousands of patients annually. His work represents a significant step toward personalized, data-driven surgical care, earning him recognition as a key voice in the future of intelligent urologic surgery.