Assessment of the training program for Versius, a new innovative robotic system for use in minimal access surgery.

Objectives: The Versius surgical system has been developed for use in robot-assisted minimal access surgery (MAS). This study aimed to evaluate the effectiveness of the Versius training program.

Design: A 3.

Deep neural networks are effective tools for assessing performance during surgical training.

Surgical education courses and certification tests require human evaluators to assess performance. Deep neural network (DNN) methods include techniques for classifying the content of videos which may enable automated scoring of video performance. Researchers collected 254 videos of two simulation-based exercises performed by attending surgeons.

Developing an intelligent tutoring system for robotic-assisted surgery instruction.

Background: Robotic-assisted laparoscopic surgery (RALS) is an operative innovation that has sparked global interest. Over the last decade, RALS cases have rapidly increased with over 750 000 robotic procedures completed in 2017. Until recently, Intuitive's da Vinci surgical system has been the only Food and Drug Administration (FDA)-approved robotic-assisted surgical device for human procedures.

Development and application of a multi-modal task analysis to support intelligent tutoring of complex skills.

Background: Contemporary work in the design and development of intelligent training systems employs task analysis (TA) methods for gathering knowledge that is subsequently encoded into task models. These task models form the basis of intelligent interpretation of student performance within education and training systems. Also referred to as expert models, they represent the optimal way(s) of performing a training task.

Design methodology for a simulator of a robotic surgical system.

Traditional spinal surgery procedures are completed with limited direct visualization. This imposes limitations on the surgeon's ability to place screws into the spine. The Mazor Renaissance robotic system was developed to improve the accuracy of pedicle screw insertion.

A model for predicting the GEARS score from virtual reality surgical simulator metrics.

Background: Surgical education relies heavily upon simulation. Assessment tools include robotic simulator assessments and Global Evaluative Assessment of Robotic Skills (GEARS) metrics, which have been validated. Training programs use GEARS for proficiency testing; however, it requires a trained human evaluator.

A comparative analysis and guide to virtual reality robotic surgical simulators.

Background: Since the US Food and Drug Administration approved robotically assisted surgical devices for human surgery in 2000, the number of surgeries utilizing this innovative technology has risen. In 2015, approximately 650 000 robot-assisted procedures were performed worldwide. Surgeons must be properly trained to safely transition to using such innovative technology.

A Comparison of Robotic Simulation Performance on Basic Virtual Reality Skills: Simulator Subjective Versus Objective Assessment Tools.

Study Objective: To answer the question of whether there is a difference between robotic virtual reality simulator performance assessment and validated human reviewers. Current surgical education relies heavily on simulation. Several assessment tools are available to the trainee, including the actual robotic simulator assessment metrics and the Global Evaluative Assessment of Robotic Skills (GEARS) metrics, both of which have been independently validated.