ArticleProceedings. IEEE Conference on Virtual Reality and 3D User Interfaces2020
A Physics-based Virtual Reality Simulation Framework for Neonatal Endotracheal Intubation.
Article in Proceedings. IEEE Conference on Virtual Reality and 3D User Interfaces, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- A VR-Based Trauma Nursing Education Program for Clinical Nurses: Integrating Jeffries' Model and the 5E Learning Cycle.Healthcare (Basel, Switzerland) · 2025Article
- An Intelligent Augmented Reality Training Framework for Neonatal Endotracheal Intubation.International Symposium on Mixed and Augmented Reality : (ISMAR) [proceedings]. IEEE and ACM International Symposium on Mixed and Augmented Reality · 2020Article
- Automated Assessment of Neonatal Endotracheal Intubation Measured by a Virtual Reality Simulation System.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Automated Assessment System for Neonatal Endotracheal Intubation Using Dilated Convolutional Neural Network.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Using virtual reality for difficult airway management planning.Anaesthesia reportsArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Neonatal endotracheal intubation (ETI) is a complex procedure. Low intubation success rates for pediatric residents indicate the current training regimen is inadequate for achieving positive patient out-comes. Computer-based training systems in this field have been limited due to the complex nature of simulating in real-time, the anatomical structures, soft tissue deformations and frequent tool interactions with large forces which occur during actual patient intubation. This paper addresses the issues of neonatal ETI training in an attempt to bridge the gap left by traditional training methods. We propose a fully interactive physics-based virtual reality (VR) simulation framework for neonatal ETI that converts the training of this medical procedure to a completely immersive virtual environment where both visual and physical realism were achieved. Our system embeds independent dynamics models and interaction devices in separate modules while allowing them to interact with each other within the same environment, which offers a flexible solution for multi-modal medical simulation scenarios. The virtual model was extracted from CT scans of a neonatal patient, which provides realistic anatomical structures and was parameterized to allow variations in a range of features that affect the level of difficulty. Moreover, with this manikin-free VR system, we can capture and visualize an even larger set of performance parameters in relation to the internal geometric change of the virtual model for real-time guidance and post-trial assessment. Lastly, validation study results from a group of neonatologists are presented demonstrating that VR is a promising platform to train medical professionals effectively for this procedure.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.