Charlotte Debbaut
Ghent University, Cancer Research Institute Ghent, University College Ghent
Papers
10
Total Citations
181
H-Index
6
About
Dr. Charlotte Debbaut is a pioneering researcher at the intersection of artificial intelligence, augmented reality (AR), and robotic surgery, with a primary focus on urological oncology—specifically robot-assisted partial nephrectomy. Her major contributions center on overcoming critical barriers to AR adoption in the operating room, including real-time instrument delineation and intelligent deocclusion of virtual overlays. Notably, her 2023 study on “Improving Augmented Reality Through Deep Learning” (69 citations) demonstrated a deep learning method for clear instrument visualization during robotic renal surgery, a key step toward practical AR integration. She also led the first-in-human real-time AI-assisted instrument deocclusion during AR robotic surgery (26 citations), addressing the occlusion problem that has long hindered clinical use. Beyond AR, Dr. Debbaut has advanced surgical data science by analyzing surgical phase duration for clinical relevance and developed a novel 3D planning tool for selective clamping during partial nephrectomy (28 citations), validated for perfusion zone algorithms. Her work on privacy-proof live surgery streaming (2024) further showcases her commitment to translating surgical AI into safe, ethical practice. With over 180 cumulative citations and multiple first-author publications in high-impact journals, Dr. Debbaut is a leading voice in making intelligent, data-driven surgery a clinical reality.
Research Focus
Key Achievements
Top Papers
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- 6Privacy-proof Live Surgery Streaming6 citations · 2024
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