Computer-Guided Laparoscopic Training with Application of a Fuzzy Expert System

Authors:
Andrzej Wytyczak-Partyka;Jan Nikodem;Ryszard Klempous;Jerzy Rozenblit;Chuan Feng
Affiliations:
Institute of Computer Engineering, Control and Robotics, Wroclaw University of Technology, Wroclaw, Poland 50-370;Institute of Computer Engineering, Control and Robotics, Wroclaw University of Technology, Wroclaw, Poland 50-370;Institute of Computer Engineering, Control and Robotics, Wroclaw University of Technology, Wroclaw, Poland 50-370;Electrical and Computer Engineering Department, The University of Arizona, Tucson, USA 85721;Electrical and Computer Engineering Department, The University of Arizona, Tucson, USA 85721
Venue:
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Year:
2008

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Abstract

Laparoscopic surgery is a widely accepted operating technique which continues to spread into different areas of medicine. Because of it's differences to open surgery (like limited perception) it demands a different training program than the traditional surgical training programs. Since it's introduction in 1980's several training curriculums for laparoscopic surgeons have been deployed and a set of skills that need to be mastered during the training has been defined. The training system proposed in this paper uses a knowledge base to guide the trainee trough the process of acquiring the necessary skills, based on the trainees measured performance in several areas. The system's guidance allows for better understanding of areas that need additional work and for faster acquisition of those, without the need for extra attention from the tutoring staff.