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A robotic system for telementoring and training in laparoscopic surgery
Author(s) -
Prince Stephen W.,
Kang Christopher,
Simonelli James,
Lee YuHsiu,
Gerber Matthew J.,
Lim Christopher,
Chu Kevin,
Dutson Erik P.,
Tsao TsuChin
Publication year - 2020
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.2040
Subject(s) - workspace , computer science , software , mechatronics , training system , laparoscopic surgery , fidelity , simulation , human–computer interaction , medical physics , artificial intelligence , robot , surgery , operating system , laparoscopy , medicine , telecommunications , economics , economic growth
Abstract A laparoscopic surgical training system, the LapaRobot, is introduced. The system is composed of an expert station and a trainee station connected through the Internet. Embedded actuators allow the trainee station to be driven by an expert surgeon so that a trainee learns proper technique through physical feedback. The surgical‐tool trajectory and video feed can be recorded and later “played back” to a trainee to hone operative skills through guided repetition without the need for expert supervision. The system is designed to create a high‐fidelity approximation of the intracorporeal workspace, incorporate commercially available surgical instruments, and provide a wealth of high‐resolution data for quantitative analysis and feedback. Experimental evaluation demonstrated a 55% improvement in surgical performance with use of our system. In this paper, we introduce the details of the design and fabrication of the LapaRobot, illustrate the mechatronics and software‐control schemes, and evaluate the system in a study.