A robotic system for telementoring and training in laparoscopic surgery. Issue 2 (25th December 2019)

• Record Type: Journal Article
• Authors: Prince, Stephen W.; Kang, Christopher; Simonelli, James; Lee, Yu‐Hsiu; Gerber, Matthew J.; Lim, Christopher; Chu, Kevin; Dutson, Erik P.; Tsao, Tsu‐Chin
• Is Part Of: International journal of medical robotics and computer assisted surgery. Volume 16:Issue 2(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-12-25
• Subjects: computer‐assisted surgery -- human‐machine interfaces -- mechatronics -- robot design -- telesurgery; Robotics in medicine -- Periodicals; Surgery -- Technological innovations -- Periodicals; Imaging systems in medicine -- Periodicals; 617.90285
• DOI: 10.1002/rcs.2040
• Languages: English
• ISSNs: 1478-5951

Abstract

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.