Ismael Gil

Hospital Clínico Universitario Lozano Blesa

Papers

Total Citations

163

H-Index

About

Ismael Gil is a leading researcher at the intersection of computer vision and minimally invasive surgery, with a primary focus on advancing endoscopic navigation through simultaneous localization and mapping (SLAM) techniques. His most impactful work, "Visual SLAM for Handheld Monocular Endoscope" (2013), has garnered 158 citations and revolutionized how medical imaging systems interpret surgical environments. By adapting robotic SLAM algorithms to monocular endoscopes, Gil demonstrated that real-time 3D model estimation is possible from a single handheld camera moving through unknown anatomical spaces—a breakthrough that transforms endoscopic sequences into navigable, spatial data. This foundational contribution bridges mobile robotics and clinical practice, enabling surgeons to visualize depth and trajectory without specialized hardware. In related work on computer vision distance measurement for laparoscopic ventral hernia repair (2014), he validated these methods in prospective clinical evaluations, proving their utility for precise intraoperative measurements. Gil's research directly addresses the critical challenge of spatial awareness in endoscopy, offering tools that enhance surgical precision and reduce reliance on invasive tracking systems. His work continues to influence both computer vision algorithms and surgical robotics, making him a pivotal figure in the evolution of intelligent, vision-guided medical interventions.