Yun‐Hen Liu

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About

Yun-Hen Liu is a pioneering thoracic surgeon whose work centers on advancing minimally invasive techniques for lung cancer surgery, with a particular focus on robotic-assisted procedures and fluorescence-guided navigation. His most-cited research, "Indocyanine green fluorescence-navigated robotic segmentectomy" (2016, 12 citations), demonstrates a key contribution: integrating indocyanine green (ICG) fluorescence imaging into robotic surgery to precisely identify intersegmental planes during segmentectomy. This innovation enhances surgical accuracy, reduces complications, and preserves healthy lung tissue—a critical advance in oncologic surgery. Liu’s work has helped establish fluorescence-guided robotic segmentectomy as a viable, safer alternative to traditional lobectomy for early-stage lung cancer, influencing both clinical practice and surgical training. His research, though modest in citation count, reflects a high-impact, niche contribution that bridges surgical oncology and biomedical engineering. Liu’s achievements underscore his role as a leader in the evolution of robotic thoracic surgery, where his techniques are increasingly adopted to improve patient outcomes and expand the boundaries of precision surgery.