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About

Joel Rosenberg is a prominent surgical researcher whose work sits at the intersection of robotic surgery, urological oncology, and medical technology perception. His scholarship is most notably concentrated on robot-assisted laparoscopic prostatectomy (RALP) for clinically localized prostate cancer, with a particular focus on the Retzius-sparing approach — a technically refined surgical technique that preserves key anatomical structures to enhance patient recovery outcomes. Rosenberg's most cited work, "Public Perceptions of Artificial Intelligence and Robotics in Medicine" (2020, 98 citations), demonstrates his broader interest in how patients and the public engage with emerging medical technologies — a critical consideration as robotic surgery becomes increasingly mainstream. His rigorous comparative studies on Retzius-sparing versus standard RALP, supported by randomized controlled trial evidence, have collectively accumulated over 170 citations, establishing him as a leading voice in refining prostatectomy technique to improve early urinary continence recovery — a key quality-of-life concern for prostate cancer patients. His contributions to Cochrane systematic reviews on both Retzius-sparing approaches and posterior musculofascial reconstruction further underscore his commitment to evidence-based surgical practice. Together, his body of work reflects a researcher dedicated to advancing surgical precision, patient-centered outcomes, and transparent evaluation of innovative medical technologies.