Leonard Dalag

Papers

Total Citations

127

H-Index

About

Leonard Dalag is a pioneering researcher in robotic surgery, with a focus on telementoring and simulation technologies. His work centers on enhancing surgical training and remote guidance for complex procedures, particularly using the da Vinci robotic system. In his highly cited 2014 study (66 citations), Dalag prospectively evaluated a novel second-generation telementoring interface, demonstrating its feasibility and safety for guiding trainees during robot-assisted surgery—a key contribution to expanding access to expert mentorship. He further advanced surgical education by developing and validating a novel procedure-specific simulation platform for robotic partial nephrectomy (2015, 61 citations). This hybrid platform uniquely integrates augmented reality and virtual reality, and Dalag rigorously assessed its face, content, construct, and concurrent validity, establishing a new standard for realistic, skill-building simulations. With over 120 citations across these landmark works, Dalag’s contributions are instrumental in making robotic surgery safer and more teachable, directly impacting both training paradigms and patient outcomes. His innovative interfaces and validated simulators represent significant achievements in the evolution of minimally invasive surgical education.