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Demonstrates enhanced predictive performance of laparoscopic instrument usage via personalized surgeon profiles, suggesting better surgical assistance.
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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Wagner et al. (2025) studied this question.
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