Maxence Boels
Papers
3
Total Citations
15
H-Index
2
About
Maxence Boels is a leading researcher at the intersection of surgical robotics, artificial intelligence, and computer vision, driving the next generation of autonomous and intelligent operating rooms. His work centers on two critical pillars: enabling machines to understand surgical scenes through tool segmentation and action recognition, and advancing robot learning from expert demonstrations and simulation. Boels’ most impactful work, the "SAR-RARP50" challenge paper (2023, 11 citations), established a benchmark for segmenting surgical instrumentation and recognizing actions during robot-assisted radical prostatectomy, providing foundational building blocks for skills assessment and decision support systems. He has further pushed the field forward with a comprehensive review on surgical robot learning (2025, 2 citations), exploring pathways from demonstration and simulation to world models, while addressing the critical bottleneck of limited expert data and realistic tissue dynamics. His forward-looking perspective on evolving surgical teams in the age of AI and robotics (2026, 2 citations) examines how intelligent ecosystems will transform the operating room. Boels’ contributions are shaping how surgical robots move from teleoperation toward meaningful autonomy, with profound implications for global surgical care.
Research Focus
Key Achievements
Top Papers
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