Jente Simoens
Papers
10
Total Citations
160
H-Index
6
About
Jente Simoens is pioneering the integration of artificial intelligence and augmented reality in robotic surgery, with a focus on transforming how surgeons interact with real-time data during minimally invasive procedures. Their core research spans surgical data science, instrument segmentation, and action recognition, but their standout contributions lie in developing AI-assisted AR overlays that intelligently handle instrument deocclusion—a critical barrier to clinical adoption. In landmark first-in-human studies, Simoens demonstrated real-time deep learning models that delineate surgical tools and dynamically manage virtual occlusions, achieving over 69 citations for their 2023 work on improving AR through deep learning in robotic renal surgery. They also led the SAR-RARP50 challenge, advancing standardized benchmarks for surgical instrument segmentation and action recognition. Notably, Simoens orchestrated the world’s first live AI-assisted AR robotic colon surgery with real-time instrument deocclusion, a feat that garnered international attention and underscores the translational impact of their work. With a growing portfolio of highly cited papers and pioneering live surgeries, Simoens is shaping the future of computer-assisted intervention, making surgery safer, more precise, and more intuitive.
Research Focus
Key Achievements
Top Papers
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- 6Privacy-proof Live Surgery Streaming6 citations · 2024
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