Robotic Repair of Access-Related Aortic Injuries: Unexpected Complication of Robot-Assisted Prostatectomy
Benjamin Gibson, Ronney Abaza
- Year
- 2010
- Citations
- 11
Abstract
Robot-assisted surgery is becoming more widespread, but despite adoption by most academic institutions, curricula for training residents in robotics have yet to be developed fully. Even after teaching surgeons have mastered robotic techniques, an inherent risk of avoidable injuries may persist as they seek to impart their knowledge of this relatively new surgical modality to trainees. Two cases of aortic injury during access for robot-assisted prostatectomy are described along with their successful robotic repair with root-cause analysis of the events. Robotic surgeons who are involved in training programs should be prepared to handle even major potential complications of robot-assisted surgery regardless of their own expertise or experience.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002