AIMC Topic: Simulation Training
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Da Vinci© Skills Simulator™: is an early selection of talented console surgeons possible?
Journal of robotic surgery
Jun 22, 2016
To investigate whether the learning curve of robotic surgery simulator training depends on the probands' characteristics, such as age and prior experience, we conducted a study of six distinct proband groups, using the da Vinci Skills Simulator: expe...
Comparison of Coopdech®, CoPilot®, Intubrite®, and Macintosh laryngoscopes for tracheal intubation during pediatric cardiopulmonary resuscitation: a randomized, controlled crossover simulation trial.
European journal of pediatrics
May 21, 2015
UNLABELLED: The aim of the study was to compare the intubation times and success rates of various laryngoscopes during resuscitation in pediatric emergency intubation with uninterrupted chest compression on a standardized pediatric manikin model. Thi...
Assessment of robotic patient simulators for training in manual physical therapy examination techniques.
PloS one
Apr 29, 2015
Robots that simulate patients suffering from joint resistance caused by biomechanical and neural impairments are used to aid the training of physical therapists in manual examination techniques. However, there are few methods for assessing such robot...
Conventional Laparoscopic vs Robotic Training: Which is Better for Naive Users? A Randomized Prospective Crossover Study.
Journal of surgical education
Feb 14, 2015
OBJECTIVE: Robotic training (RT) using the da Vinci skills simulator and conventional training (CT) using a laparoscopic "training box" are both used to augment operative skills in minimally invasive surgery. The current study tests the hypothesis th...
An effective repetitive training schedule to achieve skill proficiency using a novel robotic virtual reality simulator.
Journal of surgical education
Dec 4, 2014
PURPOSE: A robotic virtual reality simulator (Mimic dV-Trainer) can be a useful training method for the da Vinci surgical system. Herein, we investigate several repetitive training schedules and determine which is the most effective.
Artificial intelligence classifies surgical technical skills in simulated laparoscopy: a pilot study.
Surgical endoscopy
Jun 1, 2025
OBJECTIVE: To develop a computer algorithm for the automatic classification of basic surgical skills in laparoscopy. The ability to objectively assess the operative skills of trainees would be invaluable for the success of competency-based medical ed...
Building Clinical Simulations With ChatGPT in Nursing Education.
The Journal of nursing education
May 1, 2025
BACKGROUND: Competency-based nursing education necessitates effective instructional methods and assessment tools for evaluating students' knowledge, skills, and attitudes. Clinical simulation has emerged as a valuable approach, but creating well-craf...
[Improvement of Motion Artifacts in Brain MRI Using Deep Learning by Simulation Training Data].
Nihon Hoshasen Gijutsu Gakkai zasshi
Jan 1, 2022
PURPOSE: To test whether deep learning can be used to effectively reduce artifacts in MR images of the brain.
On-chip photonic diffractive optical neural network based on a spatial domain electromagnetic propagation model.
Optics express
Sep 27, 2021
An integrated physical diffractive optical neural network (DONN) is proposed based on a standard silicon-on-insulator (SOI) substrate. This DONN has compact structure and can realize the function of machine learning with whole-passive fully-optical m...
High-speed serial deep learning through temporal optical neurons.
Optics express
Jun 21, 2021
Deep learning is able to functionally mimic the human brain and thus, it has attracted considerable recent interest. Optics-assisted deep learning is a promising approach to improve forward-propagation speed and reduce the power consumption of electr...
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