Edoardo Cisero
Papers
2
Total Citations
35
H-Index
2
About
Edoardo Cisero is at the forefront of integrating artificial intelligence and computer vision into urologic surgery, pioneering precision medicine through augmented reality and predictive analytics. His research focuses on two transformative areas: enhancing intraoperative guidance and personalizing postoperative recovery. Cisero’s most impactful work, published in 2024, introduces a machine-learning software that automatically overlays 3D virtual kidney models onto the Da Vinci robotic console during partial nephrectomy, enabling real-time, image-guided tumor resection. This paper has already garnered 23 citations, reflecting its immediate relevance to advancing minimally invasive surgery. In a complementary study with 12 citations, Cisero developed a machine learning algorithm to predict incontinence risk following robot-assisted radical prostatectomy, addressing a critical gap in personalized rehabilitation. By moving beyond traditional nomograms, his AI-driven approach empowers clinicians to tailor recovery plans, improving patient quality of life. Cisero’s contributions exemplify how deep learning can bridge virtual planning and surgical execution, marking him as a rising leader in surgical data science and robotic urology.
Research Focus
Key Achievements
Top Papers
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