Papers
5
Total Citations
50
H-Index
3
About
Gino M. Kuiper is a leading researcher at the intersection of robotic surgery and artificial intelligence, with a primary focus on advancing the treatment of esophageal cancer. His work centers on robot-assisted minimally invasive esophagectomy (RAMIE), a highly complex procedure that spans multiple anatomical areas. Kuiper’s major contributions include pioneering the use of Indocyanine green fluorescence angiography (ICG-FA) for real-time intraoperative assessment of gastric conduit perfusion during RAMIE, a technique that has significantly improved patient outcomes by reducing complications. His 2022 prospective study on this method has garnered 19 citations and is considered a benchmark in the field. Additionally, Kuiper has been instrumental in developing and benchmarking surgical phase recognition models and pretrained attention-based models for real-time recognition in RAMIE, with his 2025 papers already accumulating 3 and 2 citations, respectively. Notably, his work on segmentation metrics challenges conventional evaluation methods by questioning whether they reflect clinical reality, a perspective that has earned him recognition for bridging the gap between deep learning and practical surgical guidance. With over 50 total citations, Kuiper’s research is shaping the future of robotic surgery and AI-assisted intraoperative decision-making.
Research Focus
Key Achievements
Top Papers
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