About

Maurizio Buscarini is a prominent urological surgeon and researcher whose career has been defined by his pioneering contributions to robotic-assisted and minimally invasive surgery. His work spans several critical domains, including robot-assisted radical prostatectomy, upper tract urothelial carcinoma management, and the development of next-generation telesurgical platforms. Buscarini's most cited work, "Contemporary Techniques of Prostate Dissection for Robot-assisted Prostatectomy" (2020, 124 citations), underscores his expertise in refining surgical technique for one of urology's most complex procedures. Equally notable is his early and sustained involvement with the Telelap ALF-X telesurgical system — a groundbreaking platform incorporating haptic feedback, eye-tracking camera control, and enhanced ergonomics — demonstrated through multiple pilot studies and conference presentations dating back to 2013. His research extends beyond prostate cancer, encompassing oncologic outcomes in radical nephroureterectomy, salvage robotic renal surgery, gynecologic robotic applications, and the emerging frontier of single-port robotic surgery. His 2024 review integrating artificial intelligence and 3D modeling into urologic oncology reflects his forward-thinking perspective. With over 360 cumulative citations across a decade of output, Buscarini represents a key voice in the evolution of surgical robotics, consistently bridging technological innovation with real-world clinical application.

Research Focus

Key Achievements

11
H-Index
18
Papers
406
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Contemporary Techniques of Prostate Dissection for Robot-assisted Prostatectomy
124 citations · 2020
📈 Most Prolific Year: 2013 (5 Papers)
🤝 Key Collaborators: 152
🏛 Institutions: Università Campus Bio-Medico, Mount Sinai Hospital, Icahn School of Medicine at Mount Sinai, University of Tennessee Health Science Center, Mount Sinai Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago