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About

Tong Tang is at the forefront of integrating artificial intelligence and robotics into urological oncology, with a primary focus on revolutionizing prostate cancer treatment. His research centers on the evolution of robot-assisted surgery, the development of intelligent decision-support systems, and the application of deep learning for surgical outcome prediction. Tang’s major contributions include mapping the five-stage evolution of robot-assisted prostate cancer surgery over the past two decades, highlighting the transformative roles of brain-computer interfaces, virtual reality, and the metaverse. He also developed RARPKB, a pioneering knowledge-guided decision-support platform that personalizes robot-assisted radical prostatectomy (RARP) by addressing clinical complexity and physician expertise limitations. Demonstrating his commitment to interpretable AI, Tang created a deep learning method using MRI-based anatomic parameters to predict postoperative urinary incontinence, leveraging Captum for model transparency. With his most cited works accumulating over 39 citations since 2023, Tang’s research is shaping the future of precision surgery. His work not only advances technical capabilities but also addresses critical challenges in clinical decision-making and patient quality of life, marking him as a key innovator in intelligent medicine.