Max Robotics — Global Service Robot Directory + US Certification

About

Sandro Moos is pioneering the integration of artificial intelligence with robotic surgery, focusing on real-time spatial awareness and intraoperative safety. His key research areas span deep learning for 3D model registration, surgical video analysis, and optical tool tracking. Moos’s most impactful contribution is a deep learning framework that enables real-time 3D model registration in robot-assisted laparoscopic surgery, allowing surgeons to overlay a patient’s organ model onto live endoscopic video—a breakthrough for augmented reality guidance (37 citations). He also developed the Bleeding Artificial Intelligence Detector (BLAIR) system for robotic radical prostatectomy, using convolutional neural networks to predict intraoperative bleeding before it occurs (25 citations). His work on enhancing spatial navigation in robotic surgery further advances surgical precision, while his MOTT framework introduces a modular, standardized approach to optical tool tracking, enabling efficient benchmarking across applications. With over 69 total citations and publications spanning 2019 to 2025, Moos is shaping the future of intelligent, data-driven surgical assistance, making procedures safer and more intuitive for clinicians worldwide.