Jacques Felblinger
Inserm, Imagerie Adaptative Diagnostique et Interventionnelle
Papers
6
Total Citations
582
H-Index
6
About
Jacques Felblinger is a leading researcher in the intersection of robotic surgery, ergonomics, and telesurgery. His work focuses on quantifying and improving surgical performance, with a particular emphasis on the physical and cognitive demands placed on surgeons. Felblinger’s major contributions include pioneering the use of the dV-Trainer® simulator to establish acceptable latency levels for telesurgery—a critical step for safe remote operations—and validating this simulator as a reliable tool for assessing robotic surgical skills. His ergonomic studies, such as the 2013 paper on physical workload (137 citations), have provided objective evidence that robotic systems reduce musculoskeletal strain compared to standard laparoscopy, while his later work on armrest load (14 citations) introduced novel metrics for optimizing surgeon comfort. With over 580 total citations across his most-cited works, Felblinger’s research has directly informed surgical training protocols and equipment design. Notably, his investigation into the transferability of micro-surgery skills to robotic platforms (14 citations) offers practical insights for training curricula. By blending rigorous experimental design with real-world surgical challenges, Felblinger has become a key figure in advancing safer, more efficient robotic surgery.
Research Focus
Key Achievements
Top Papers
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