Design of a Proficiency-Based Skills Training Curriculum for the Fundamentals of Laparoscopic Surgery

By E. M. Ritter, D. Scott. Surgical Innovation, 2007

338 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Public Health, Environmental and Occupational Health, Surgery

View Paper: https://www.semanticscholar.org/paper/13ff904ee208919fdce1b9d8e8bd17eb9da32c5b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Animesh Garg
2. Sanjay Krishnan
3. Ken Goldberg
4. Brijen Thananjeyan

In Public Health, Environmental and Occupational Health

1. Sanjay Krishnan

Citations in the corpus

• Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning (2017, methodology): “A motivating instance of this problem is a generalization of the pattern cutting task from Fundamentals of Laparoscopic Surgery (FLS), which is a standard training regimen for medical students in laparoscopic surgery [25].”
• A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting (2019, background): “Surgical pattern cutting skill is one of the requirements for surgical residents, as listed in the Fundamentals of Laparoscopic Surgery (FLS) training suite [10] and for robotic surgery, as included in the Fundamental Skills of Robotic Surgery (FSRS) [11-13].”