Papers
17
Total Citations
281
H-Index
11
About
Michele Sica is a pioneering urological surgeon at the forefront of precision surgery, integrating artificial intelligence, three-dimensional virtual models, and augmented reality to transform robotic procedures. His research centers on developing intelligent intraoperative guidance systems that enhance surgical accuracy while minimizing patient trauma. Sica’s major contributions include the creation of the BLAIR (Bleeding Artificial Intelligence Detector) system for robotic radical prostatectomy, which uses convolutional neural networks to predict and manage intraoperative bleeding, and the development of machine-learning algorithms that automatically overlay 3D kidney models onto the Da Vinci console during partial nephrectomy. His work on metaverse surgical planning and AI-guided augmented reality for nephron-sparing surgery has been cited over 240 times, with individual papers receiving up to 40 citations. Notably, Sica has pioneered the use of hyper accuracy 3D models for challenging robotic vena cava thrombectomy and has advanced the Aquablation procedure for benign prostatic obstruction. By seamlessly blending computer vision, machine learning, and robotic surgery, Sica is defining a new era of data-driven, minimally invasive urology that promises to reduce complications and improve functional outcomes for patients worldwide.
Research Focus
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