Felix Braun
Papers
2
Total Citations
53
H-Index
2
About
Felix Braun is a leading figure in the advancement of robot-assisted hepatobiliary surgery, with a focused expertise in leveraging intraoperative imaging to overcome the inherent limitations of robotic platforms. His primary research addresses the critical challenge of missing haptic feedback during robotic procedures, a void he has filled through pioneering work with the fluorescent dye indocyanine green (ICG). Braun’s major contributions demonstrate how ICG, which selectively accumulates in hepatocellular carcinoma and other hepatic masses, can be visualized using integrated near-infrared cameras to guide precise, real-time resections. His most-cited work, "Usability of Indocyanine Green in Robot-Assisted Hepatic Surgery" (2021, 35 citations), established a foundational protocol for this technique, while his subsequent study "The Role of ICG in Robot-Assisted Liver Resections" (2022, 18 citations) further validated its clinical utility. By effectively translating a novel imaging strategy into a practical surgical aid, Braun has significantly enhanced the safety and accuracy of robotic liver surgery. His research is not only highly cited but also directly shapes operative practice, offering a tangible solution that empowers surgeons to perform complex resections with greater confidence and improved patient outcomes.
Research Focus
Key Achievements
Top Papers
- 1Usability of Indocyanine Green in Robot-Assisted Hepatic Surgery35 citations · 2021
- 2The Role of ICG in Robot-Assisted Liver Resections18 citations · 2022