Papers
10
Total Citations
117
H-Index
4
About
Fabio Giannone is a leading figure in the advancement of robotic hepatobiliary and pancreatic surgery, with a focused expertise in minimally invasive techniques for complex liver and pancreatic resections. His major contributions include establishing the first comprehensive benchmarks for robotic liver resection, as detailed in his highly cited 2025 work (8 citations), which bridges traditional surgical standards with modern robotic innovation. Giannone has also systematically classified robotic liver parenchymal transection techniques (9 citations) and demonstrated the safety and feasibility of robotic approaches for challenging procedures, such as resections of the posterosuperior liver segments and caudate lobe. His 2021 paper on augmented reality and image-guided robotic liver surgery (62 citations) highlights his pioneering integration of artificial intelligence to enhance surgical precision and oncological outcomes. With a growing body of work exceeding 100 total citations, Giannone’s research has significantly impacted surgical practice by reducing conversion rates, improving postoperative outcomes, and expanding the applicability of robotics to high-risk patients, including those with choledochal cysts and synchronous malignancies. His novel benchmarks and risk prediction models are shaping the future of minimally invasive liver surgery worldwide.
Research Focus
Key Achievements
Top Papers
- 1Augmented Reality and Image-Guided Robotic Liver Surgery62 citations · 2021
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- 6Conversion during Minimally Invasive Left Pancreatectomy4 citations · 2025
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- 9Mastering Robotic Liver Resection2 citations · 2025
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