Stefano Alba
Papers
7
Total Citations
104
H-Index
5
About
Stefano Alba is pioneering the next frontier of precision surgery by fusing artificial intelligence with 3D modeling and augmented reality to transform robotic urological procedures. His work centers on developing intelligent, intraoperative guidance systems that make complex surgeries safer and more organ-preserving. Alba’s major contributions include the creation of the BLAIR system (Bleeding Artificial Intelligence Detector), a convolutional neural network designed to predict and mitigate intraoperative bleeding during robotic radical prostatectomy. He has also led the development of AI-guided automatic augmented reality overlays for robotic partial nephrectomy, allowing surgeons to visualize hidden anatomical targets in real time. With his most-cited work (33 citations) demonstrating the first machine-learning-driven, fully automatic 3D augmented reality system for kidney surgery, Alba’s research is defining the "Metaverse" of surgical planning. His integration of AI with hyper-accurate 3D models for challenging nephron-sparing interventions showcases a commitment to functional organ preservation. By pioneering these technologies at a high-volume robotic center, Alba is not just improving surgical outcomes—he is building the intelligent, data-driven operating room of the future.
Research Focus
Key Achievements
Top Papers
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