Proceedings on Automation in Medical Engineering
Vol. 3 No. 1 (2026): Proc AUTOMED
https://doi.org/10.18416/AUTOMED.2026.2482

18th Interdisciplinary AUTOMED Symposium in Collaboration with the TC Medical Robotics, 2482

Modeling surgeon-specific instrument usage profiles to improve instrument anticipation

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Lars Wagner (TUM University Hospital), Lukas Bernhard (Department of Surgery, Research Group MITI, TUM University Hospital rechts der Isar, Munich, Germany), Alexander Geiger (Department of Surgery, Research Group MITI, TUM University Hospital rechts der Isar, Munich, Germany), Dennis Schneider (Department of Surgery, Research Group MITI, TUM University Hospital rechts der Isar, Munich, Germany), Alois Knoll (Chair of Robotics, Artificial Intelligence (AI) and Embedded Systems, Technical University of Munich, Munich, Germany), Dirk Wilhelm (Department of Surgery, Research Group MITI, TUM University Hospital rechts der Isar, Munich, Germany)

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Abstract


Anticipating surgical instrument usage is essential for robotic assistance systems to facilitate smooth intraoperative workflows. This study investigates whether modeling surgeon-specific profiles improves the prediction of laparoscopic instrument sequences. We evaluate a profile-aware GRU against a standard GRU and a hidden Markov model. The results demonstrate that incorporating surgeon-specific profiles enhances predictive performance, highlighting the importance of personalization for effective robotic assistance in surgery.


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