Objective Surgical Skill Assessment: An Initial Experience by Means of a Sensory Glove Paving the Way to Open Surgery Simulation?

Abstract

This initial experience confirmed the validity and reliability of the proposed system in objectively assessing surgeons' technical skill, thus paving the way to a more complex project involving open surgery simulation.

Automated robot‐assisted surgical skill evaluation: Predictive analytics approach

“…Using these methods of evaluation, the trainees perform standardized surgical tasks while an expert surgeon evaluates their performance. The expert surgeon gives scores to surgical trainees based on predefined criteria such as flow of surgery, time to motion, efficiency, tissue handling and overall performance by observing the surgical procedure in person or watching a recorded video of the operation . However, these methods are threatened by a lack of consistency, reliability and efficiency due to the subjective nature of the expert's intervention.…”

“…The expert surgeon gives scores to surgical trainees based on predefined criteria such as flow of surgery, time to motion, efficiency, tissue handling and overall performance by observing the surgical procedure in person or watching a recorded video of the operation. 11 However, these methods are threatened by a lack of consistency, reliability and efficiency due to the subjective nature of the expert's intervention. With the advent of minimally invasive surgery (MIS) and robot-assisted minimally invasive surgery (RMIS), the need for automated methods of objective surgical assessment is even more pressing because they require surgeons to undergo a much longer and more difficult training and pose new challenges for surgical training.…”

Kinematic real-time feedback is more effective than traditional teaching method in learning ankle joint mobilisation: a randomised controlled trial

“…Similarly, in the surgical field, accuracy in both the initial positioning of the hand when making an incision and displacement during execution is critical to the success of the surgical procedure [ 21 – 24 ]. The learning of these techniques, at least in the early stages, could benefit from the transfer of this new methodology as its development can also be decomposed into kinematic parameters.…”

Sign Language Recognition Using Wearable Electronics: Implementing k-Nearest Neighbors with Dynamic Time Warping and Convolutional Neural Network Algorithms

“…Generally speaking, standardized signs or gestures improve communication [ 1 ], as it occurs in army and aircraft security scenarios [ 2 ], or improve interaction, as it occurs in human–machine systems [ 3 , 4 , 5 ] and in tele-control [ 6 ], or improve efficiency, as it occurs in surgery [ 7 ], just to mention a few. Specifically, signs that are structured with syntax, semantics, grammar, pragmatics morphology, and phonology become “sign languages” [ 8 ], which allow us the expression of thoughts and feelings, in the same way as a “natural language” can do.…”