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About

Rongrong Wu is a pioneering researcher at the intersection of urologic oncology and artificial intelligence, specializing in knowledge-guided decision support systems and interpretable deep learning for prostate cancer management. Her most impactful work, "RARPKB: a knowledge-guide decision support platform for personalized robot-assisted surgery in prostate cancer" (2024, 11 citations), introduces a groundbreaking platform that integrates clinical knowledge bases with AI to address the critical challenge of rational surgical decision-making in robot-assisted radical prostatectomy (RARP). This contribution directly tackles the complexities of prostate cancer heterogeneity and variable physician expertise, offering a personalized approach to surgical planning. In her earlier study, "An artificial intelligence method for predicting postoperative urinary incontinence based on multiple anatomic parameters of MRI" (2023, 7 citations), Wu advanced the field by applying Captum, an interpretability tool, to enhance the transparency of deep learning models in predicting functional outcomes after surgery. This work is notable for addressing the "black box" problem in medical AI, making her models more trustworthy for clinical adoption. Wu’s research has significant implications for improving patient quality of life and standardizing surgical care, establishing her as a key figure in AI-driven precision oncology.