Papers
36
Total Citations
899
H-Index
15
About
Paolo Verri has established himself as a pioneering figure at the intersection of robotic urology, augmented reality, and artificial intelligence-assisted surgery. His research centers on robot-assisted partial nephrectomy, surgical planning technologies, and the integration of cutting-edge digital tools into urological practice. Verri's most celebrated contribution — his 2019 paper on three-dimensional augmented reality guidance for complex partial nephrectomies (188 citations) — demonstrated that 3D AR overlays could surpass traditional ultrasound guidance in challenging cases, fundamentally reshaping intraoperative decision-making. He has since advanced this field further by pioneering computer vision-based automatic model overlapping and indocyanine green-driven AR systems, collectively accumulating hundreds of citations. His 2023 work introducing the Hugo™ RAS robotic system and metaverse-based surgical planning reflects his commitment to next-generation operative platforms. Notably, Verri also addressed the human dimension of surgical training, with his widely cited COVID-19 study (130 citations) quantifying pandemic-related disruptions to urology residents' learning curves. His development of the BLAIR bleeding detection AI system underscores his broader ambition to automate surgical safety. Across his body of work, Verri continues to redefine precision urology through immersive technology and machine intelligence.
Research Focus
Key Achievements
Top Papers
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- 2Slowdown of urology residents’ learning curve during the COVID‐19 emergency130 citations · 2020
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