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Digital Surgery and Telemedicine ·

Advancements in Tool Recognition for Robotic Surgery

A new strategy improves surgical tool recognition in robotic procedures, enhancing surgeon efficiency and safety.

  • Mean average precision in testing reached 0.4669.
  • Recall rates for tools varied from 79.36% to 99.75%, with precision rates from 57.65% to 97.35%.

The approach could reduce surgeon workload and improve training for future robotic systems.

  • Specific performance for bipolar forceps, needle driver, and cautery hook exceeded 94% in both recall and precision.

Validation Study by Ping L, Cui R (…) Wu W et 7 al. in J Robot Surg

© 2025. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.

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