Stefano Diciotti
Papers
4
Total Citations
189
H-Index
4
About
Stefano Diciotti is a pioneering researcher at the intersection of urologic surgery and cutting-edge digital technology, with a primary focus on augmented reality (AR) and robotic-assisted surgical navigation. His major contributions lie in developing and clinically validating real-time AR three-dimensional guidance systems for complex oncologic procedures, particularly robot-assisted radical prostatectomy and partial nephrectomy. Diciotti’s work has demonstrated how AR overlays can significantly enhance surgical planning by providing surgeons with intuitive, patient-specific anatomical visualizations during critical steps such as selective clamping and tumor dissection. His most cited paper (74 citations) reports the first clinical experience with real-time AR-guided robotic prostatectomy, showing improved precision in nerve-sparing and margin assessment. A subsequent study (61 citations) extends this approach to intraoperative frozen section guidance, further refining oncologic control. Collectively, his publications have garnered over 180 citations, establishing him as a key innovator in the emerging field of computer-assisted urologic surgery. Diciotti’s translational research bridges the gap between virtual surgical planning and real-time intraoperative decision-making, offering a compelling vision for the future of precision oncology.
Research Focus
Key Achievements
Top Papers
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