Papers
41
Total Citations
738
H-Index
13
About
Marco Paciotti is an emerging force in urological surgery and surgical robotics, with research centered on robotic-assisted urological procedures, next-generation surgical platforms, and the integration of artificial intelligence into operative medicine. His work has garnered substantial academic attention, accumulating over 550 citations across his most impactful publications, reflecting both the timeliness and clinical relevance of his contributions. Paciotti has been instrumental in pioneering the clinical adoption of the Hugo RAS robotic system, authoring some of the earliest and most-cited comparative studies evaluating its feasibility, surgical setup, and perioperative outcomes against the established da Vinci platform. His investigations span radical prostatectomy, sacropexy, simple prostatectomy, and radical cystectomy, providing comprehensive early evidence that has guided surgeons worldwide in transitioning to newer robotic technologies. Beyond platform evaluation, Paciotti has pushed the frontier of intraoperative innovation, contributing landmark work on deep learning-enhanced augmented reality for robotic renal surgery, addressing critical barriers to real-time AR adoption in the operating room. His prospective studies on micro-ultrasound for preoperative prostate cancer staging further demonstrate his commitment to improving diagnostic precision. Taken together, his portfolio marks him as a versatile surgical researcher shaping the future of minimally invasive urology.
Research Focus
Key Achievements
Top Papers
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