Papers
14
Total Citations
327
H-Index
10
About
Mitchell G. Goldenberg is a urological surgeon and surgical education researcher whose work sits at the intersection of robotic surgery, technical skill assessment, and technology-enhanced training. His research has fundamentally advanced our understanding of how surgeon performance shapes patient outcomes, most notably demonstrating that technical skill predicts early continence recovery after robot-assisted radical prostatectomy — a finding replicated across multiple institutions and cited 75 times. Goldenberg has been a leading voice in validating simulation-based training tools, evaluating virtual reality simulators for complex procedures like percutaneous nephrolithotomy and establishing their role in predicting real-world surgical competence. His systematic reviews on technical and nontechnical skill assessment in robotic urological surgery have provided evidence-based frameworks now guiding surgical training programs internationally. Perhaps most forward-looking is his pioneering work applying artificial intelligence to deliver automated, personalized feedback on robotic suturing — a study already garnering 27 citations since 2023. By also exploring video games, crowd-sourced video review, and the transferability of laparoscopic to robotic skills, Goldenberg has built a cohesive and impactful body of scholarship reshaping how the next generation of surgeons are trained and evaluated.
Research Focus
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