Santiago Casado

Hospital Clínico Universitario Lozano Blesa

Papers

Total Citations

163

H-Index

About

Santiago Casado is a leading researcher at the intersection of computer vision and minimally invasive surgery, whose work has pioneered the use of Simultaneous Localization and Mapping (SLAM) techniques in medical endoscopy. His most influential contribution, "Visual SLAM for Handheld Monocular Endoscope" (2013), with 158 citations, demonstrated that algorithms originally designed for mobile robotics could be adapted to reconstruct 3D anatomical models in real-time from the sole input of a monocular endoscope—a breakthrough that transforms how surgeons navigate complex laparoscopic environments. This foundational work effectively repositions the endoscopic camera as a robotic agent, enabling dynamic spatial awareness without external tracking hardware. Casado has further advanced the clinical translation of these methods, as seen in his prospective evaluation of computer vision distance measurement during laparoscopic ventral hernia repair (2014). By providing quantitative, real-time depth perception from standard endoscopic video, his research directly addresses a critical unmet need in surgery: the lack of reliable intraoperative measurement. Casado’s contributions bridge the gap between robotic perception and clinical practice, offering a pathway toward safer, more precise, and less invasive procedures.