Fiona R. Kolbinger
German Cancer Research Center, University Hospital Carl Gustav Carus
Papers
4
Total Citations
89
H-Index
4
About
Fiona R. Kolbinger is a pioneering researcher at the intersection of surgery and artificial intelligence, specializing in context-aware surgical guidance and machine learning for complex oncological procedures. Her major contributions include developing AI systems that provide real-time, phase-specific guidance during robot-assisted surgeries—such as rectal and esophageal cancer operations—to help surgeons maintain correct dissection planes and preserve vulnerable structures, thereby reducing recurrence risks. Her most cited work, an exploratory feasibility study on AI for context-aware guidance in robot-assisted oncological procedures (2023, 41 citations), demonstrates how deep learning can enhance surgical precision. She also advanced the concept of "Surgomics," using active learning to extract surgical process characteristics from multimodal intraoperative data for personalized outcome prediction (2023, 16 citations). Additionally, her 2022 paper on machine learning for autonomous surgical decision-making (21 citations) highlights her role in shaping the paradigm shift toward data-driven, high-tech surgery. With over 89 total citations across her top papers, Kolbinger’s work is foundational for the future of intelligent, autonomous surgical systems, making her a key figure in translational surgical AI research.
Research Focus
Key Achievements
Top Papers
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