Papers
13
Total Citations
243
H-Index
8
About
Michele Catellani is a leading figure in robotic and computer-assisted minimally invasive surgery, with a particular focus on urologic oncology. His research spans the development of autonomous surgical systems—including deep-learning-based visual servoing for soft robot navigation and automated endoscope motion—to rigorous clinical outcome studies. Catellani has made major contributions by bridging engineering and clinical practice: his work on requirements elicitation for new surgical robots (66 citations) provides a foundational framework for end-user-centered design, while his long-term oncologic studies, such as the 5-year outcomes after robot-assisted partial nephrectomy (26 citations), offer critical evidence for surgical decision-making in elderly and complex patients. His impact is reflected in over 230 total citations across his top ten papers, with influential work comparing intracorporeal versus extracorporeal neobladder reconstruction (24 citations) and developing novel nomograms for lymph node invasion prediction. Catellani also introduced the innovative “Shell” technique for robot-assisted intracorporeal neobladder reconstruction, demonstrating his commitment to advancing surgical technique. His research consistently addresses the gap between technological innovation and real-world clinical adoption, making him a key voice in the future of robotic surgery.
Research Focus
Key Achievements
Top Papers
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