The Experts below are selected from a list of 87621 Experts worldwide ranked by ideXlab platform
Jonathan Y. Ting - One of the best experts on this subject based on the ideXlab platform.
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Current State of Surgical Simulation Training in Otolaryngology: Systematic Review of Simulation Training Models
Archives of Otorhinolaryngology-Head & Neck Surgery, 2019Co-Authors: Mohamedkazim M. Alwani, Elhaam Bandali, Michael Larsen, Taha Z. Shipchandler, Jonathan Y. TingAbstract:The review article presents an expansive list of otolaryngology-specific surgical Simulation Training models as described in Otolaryngology literature as well as evaluates recent advances in Simulation Training in Otolaryngology.
Wang Qin-zha - One of the best experts on this subject based on the ideXlab platform.
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Performance Evaluation Method of Armored Unit Simulation Training Based on AHP
Computer Simulation, 2015Co-Authors: Wang Qin-zhaAbstract:The armored Simulation Training has developed from skill Training to unit Simulation Training. Performance evaluation is an important part of armored unit Simulation Training system. The reasonableness of the evaluation will have great impact on the Training level and enthusiasm of troops. The current methods are human-oriented and they are not objective and systematic. Through analysis of the requirement and characteristics of the armored unit Simulation Training system,we established the Training performance evaluating index system based on AHP to solve the above problem. The responding mathematical model,the calculation method of the weight of each index and the rating method were given in detail. Finally,taking an armored unit Simulation Training as an example,we evaluated the performance. The score it gives is scientific and it has a good performance in an armored unit Simulation Training system.
Mohamedkazim M. Alwani - One of the best experts on this subject based on the ideXlab platform.
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Current State of Surgical Simulation Training in Otolaryngology: Systematic Review of Simulation Training Models
Archives of Otorhinolaryngology-Head & Neck Surgery, 2019Co-Authors: Mohamedkazim M. Alwani, Elhaam Bandali, Michael Larsen, Taha Z. Shipchandler, Jonathan Y. TingAbstract:The review article presents an expansive list of otolaryngology-specific surgical Simulation Training models as described in Otolaryngology literature as well as evaluates recent advances in Simulation Training in Otolaryngology.
Pavol Surda - One of the best experts on this subject based on the ideXlab platform.
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Rhinology: Simulation Training (Part 1)
Current Otorhinolaryngology Reports, 2020Co-Authors: Chrysostomos Tornari, Miroslav Tedla, Pavol SurdaAbstract:Purpose of Review Recently, there has been an expansion of novel technologies in Simulation Training. Different models target different aspects of Training. The aim of this review was to examine existing evidence about Training simulators in rhinology, their incorporation into real Training programmes and translation of these skills into the operating room. The first part focuses on the virtual and augmented reality simulators. The second part describes the role of physical (i.e. non-computer-based) models of endoscopic sinus surgery. Recent Findings Virtual reality simulators are still evolving and facing challenges due to their inherent cost and lack of realism in terms of the type of haptic feedback they provide. On the other hand, augmented reality seems to be a promising platform with a growing number of applications in preoperative planning, intraoperative navigation and education. Limitations in validity, registration error and level of evidence prevent the adoption of augmented reality on a wider scale or in clinical practice. Summary Simulation Training is a maturing field that shows reasonable evidence for a number of models. The incorporation of these models into real Training programmes requires further evaluation to ensure that Training opportunities are being maximized.
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Rhinology: Simulation Training (Part 2)
Current Otorhinolaryngology Reports, 2020Co-Authors: Chrysostomos Tornari, Miroslav Tedla, Pavol SurdaAbstract:Recently, there has been an expansion of novel technologies in Simulation Training. The aim of this review was to examine existing evidence about Training simulators in rhinology, their incorporation into real Training programmes and translation of these skills into the operating room. The first part focuses on the virtual and augmented reality simulators. The second part describes the role of physical (i.e. non-computer-based) models of endoscopic sinus surgery. We learned that an ideal sinus surgery model would score highly in all standard measures of validity whilst maintaining an attainable cost. This is a challenging goal that is worthy of pursuit given that Simulation Training has been shown to be cost-effective option in other domains. Non-AR or VR models are attractive ways to fill gaps in Simulation Training whilst reducing compared with computer-based models. In an era of improved computer technology and improved 3D printing, it will be increasingly important to focus on both the manufacture and validation process. One area that will benefit from further technological advancement is the realistic Simulation of bleeding as this would obviate the need for animal models. Future studies on ESS Simulation will also need to robustly demonstrate the validity of each model with the emphasis on the ability of a model to predict performance in operative environment.
Liu Ying - One of the best experts on this subject based on the ideXlab platform.
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Research on Simulation Training System Based on Virtools and HLA
Computer Simulation, 2008Co-Authors: Liu YingAbstract:To solve the problems of Simulation Training system such as large amount of work, lower development efficiency and lower quality, etc, after comparing and analyzing several kinds of design methods about Simulation Training system, a design method for Simulation Training system based on Virtools and HLA is put forward. Then four kinds of related models namely the system architecture, equipment appearance, man-machine interaction and battlefield environment are described. After accomplishing the whole design architecture, three key technologies: dynamic loading, collision detection and model physicalizing are researched. In the end, a demonstration system for a kind of SPAAG based on this method is designed. The result illustrates its high quality in real time and the fidelity.
