Virtual Reality in Medical Training, Patient Rehabilitation and Psychotherapy: Applications and Future Trends

2022 ◽  
pp. 317-334
Author(s):  
M. Karthigha ◽  
Madhumathi Ramasamy
Keyword(s):  
Virtual Reality ◽  
Medical Training ◽  
Future Trends

Virtual Reality, Augmented Reality, and Virtual Environments: Demonstrations of Current Technologies and Future Directions

2020 ◽  
Vol 64 (1) ◽  
pp. 2119-2123
Author(s):  
Sarah Beadle ◽  
Randall Spain ◽  
Benjamin Goldberg ◽  
Mahdi Ebnali ◽  
Shannon Bailey ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Human Factors ◽  
Virtual Environments ◽  
Medical Training ◽  
Risk Environment ◽  
Future Directions ◽  
Simulated Environments ◽  
Interactive Session ◽  
Immersive Technologies

Virtual environments and immersive technologies are growing in popularity for human factors purposes. Whether it is training in a low-risk environment or using simulated environments for testing future automated vehicles, virtual environments show promise for the future of our field. The purpose of this session is to have current human factors practitioners and researchers demonstrate their immersive technologies. This is the eighth iteration of the “Me and My VE” interactive session. Presenters in this session will provide a brief introduction of their virtual reality, augmented reality, or virtual environment work before engaging with attendees in an interactive demonstration period. During this period, the presenters will each have a multimedia display of their immersive technology as well as discuss their work and development efforts. The selected demonstrations cover issues of designing immersive interfaces, military and medical training, and using simulation to better understand complex tasks. This includes a mix of government, industry, and academic-based work. Attendees will be virtually immersed in the technologies and research presented allowing for interaction with the work being done in this field.

scholarly journals Face, Content, and Construct Validity of a Virtual Reality Otoscopy Simulator and Applicability to Medical Training

2021 ◽  
pp. 019459982110328
Author(s):  
Tobias Albrecht ◽  
Christoph Nikendei ◽  
Mark Praetorius
Keyword(s):  
Virtual Reality ◽  
Medical Students ◽  
Construct Validity ◽  
Content Validity ◽  
Medical Training ◽  
Controlled Trial ◽  
Correct Diagnosis ◽  
Age Groups ◽  
Tertiary Referral Center ◽  
The Face

Objective Otologic diseases are common in all age groups and can significantly impair the function of this important sensory organ. To make a correct diagnosis, the correct handling of the otoscope and a correctly performed examination are essential. A virtual reality simulator could make it easier to teach this difficult-to-teach skill. The aim of this study was to assess the face, content, and construct validity of the novel virtual reality otoscopy simulator and the applicability to otologic training. Study Design Face and content validity was assessed with a questionnaire. Construct validity was assessed in a prospectively designed controlled trial. Setting Training for medical students at a tertiary referral center. Method The questionnaire used a 6-point Likert scale. The otoscopy was rated with a modified Objective Structured Assessment of Technical Skills. Time to complete the task and the percentage of the assessed eardrum surface were recorded. Results The realism of the simulator and the applicability to medical training were assessed across several items. The ratings suggested good face and content validity as well as usefulness and functionality of the simulator. The otolaryngologists significantly outperformed the student group in all categories measured (P < .0001), suggesting construct validity of the simulator. Conclusion In this study, we could demonstrate face, content, and construct validity for a novel high-fidelity virtual reality otoscopy simulator. The results encourage the use of the otoscopy simulator as a complementary tool to traditional teaching methods in a curriculum for medical students.

Applying Multi-User Virtual Reality to Collaborative Medical Training

2018 ◽  
Author(s):  
Jonas Schild ◽  
Sebastian Misztal ◽  
Beniamin Roth ◽  
Leonard Flock ◽  
Thomas Luiz ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Medical Training

Spatial Sound for Computer Games and Virtual Reality

2010 ◽  
pp. 287-312 ◽  
Author(s):  
David Murphy ◽  
Flaithrí Neff
Keyword(s):  
Virtual Reality ◽  
Transfer Function ◽  
Mobile Devices ◽  
Computer Games ◽  
Future Trends ◽  
Hardware System ◽  
Spatial Sound ◽  
Head Related Transfer Function ◽  
Review Current ◽  
Audio Technologies

In this chapter, we discuss spatial sound within the context of Virtual Reality and other synthetic environments such as computer games. We review current audio technologies, sound constraints within immersive multi-modal spaces, and future trends. The review process takes into consideration the wide-varying levels of audio sophistication in the gaming and VR industries, ranging from standard stereo output to Head Related Transfer Function implementation. The level of sophistication is determined mostly by hardware/system constraints (such as mobile devices or network limitations), however audio practitioners are developing novel and diverse methods to overcome many of these challenges. No matter what approach is employed, the primary objectives are very similar—the enhancement of the virtual scene and the enrichment of the user experience. We discuss how successful various audio technologies are in achieving these objectives, how they fall short, and how they are aligned to overcome these shortfalls in future implementations.

Collision Detection

2011 ◽  
pp. 36-67
Author(s):  
Gabriel Zachmann
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Collision Detection ◽  
Serious Games ◽  
Medical Training ◽  
Virtual Assembly ◽  
Virtual Objects ◽  
Enabling Technologies ◽  
Assembly Simulation ◽  
Physically Based

Collision detection is one of the enabling technologies in many areas, such as virtual assembly simulation, physically-based simulation, serious games, and virtual-reality based medical training. This chapter will provide a number of techniques and algorithms that provide efficient, real-time collision detection for virtual objects. They are applicable to various kinds of objects and are easy to implement.

scholarly journals Virtually Walking in a Patient’s Shoes—the Path to Empathy?

2020 ◽  
Vol 30 (4) ◽  
pp. 1737-1739
Author(s):  
Carrie A. Elzie ◽  
Jacqueline Shaia
Keyword(s):  
Virtual Reality ◽  
Medical Training ◽  
Point Of View ◽  
Immersive Virtual Reality ◽  
Clinical Practices ◽  
Physician Relationship

AbstractEmpathy is the basis of a patient-physician relationship; however, this is being lost by students throughout medical training. Immersive virtual reality that allows individuals to viscerally experience anything from another person’s point of view has the potential to reverse the erosion of empathy and improve clinical practices.

High-Fidelity Medical Training Model Augmented With Virtual Reality and Conformable Sensors1

2016 ◽  
Vol 10 (3) ◽  
Author(s):  
Yunhe Shen ◽  
Jack Norfleet ◽  
Zichen Zhao ◽  
David Hananel ◽  
Daniel Burke ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Medical Training ◽  
Training Model ◽  
High Fidelity

Virtual reality for medical training: the state-of-the-art

2015 ◽  
Vol 9 (1) ◽  
pp. 16-26 ◽  
Author(s):  
G S Ruthenbeck ◽  
K J Reynolds
Keyword(s):  
Virtual Reality ◽  
Medical Training ◽  
State Of The Art ◽  
The State

scholarly journals No difference in learning outcomes and usability between using controllers and hand tracking during a virtual reality endotracheal intubation training for medical students in Thailand

2021 ◽  
Vol 18 ◽  
pp. 22
Author(s):  
Chaowanan Khundam ◽  
Naparat Sukkriang ◽  
Frédéric Noël
Keyword(s):  
Virtual Reality ◽  
Medical Students ◽  
Learning Outcomes ◽  
Endotracheal Intubation ◽  
User Satisfaction ◽  
Clinical Training ◽  
Medical Training ◽  
Hand Tracking ◽  
System Usability Scale ◽  
Post Test

Purpose: We developed a virtual reality (VR) endotracheal intubation training that applied 2 interaction modalities (hand-tracking or controllersIt aimed to investigatedthe differences of usuability between using hand tracking and controllers during the VR intervention for intubation training for medical students from February 2021 to March 2021 in Thailand.Methods: Forty-five participants were divided into 3 groups: video only, video with VR controller training, and video with VR hand tracking training. Pre-test, post-test, and practice scores were used to assess learning outcomes. The System Usability Scale (SUS) and User Satisfaction Evaluation Questionnaire (USEQ) questionnaires were used to evaluate the differences between the VR groups. The sample comprised 45 medical students (undergraduate) who were taking part in clinical training at Walailak University in Thailand.Results: The overall learning outcomes of both VR groups were better than those of the video group. The post-test scores (P=0.581) and practice scores (P=0.168) of both VR groups were not significantly different. Similarly, no significant between-group differences were found in the SUS scores (P=0.588) or in any aspects of the USEQ scores.Conclusion: VR enhanced medical training. Interactions using hand tracking or controllers were not significantly different in terms of the outcomes measured in this study. The results and interviews provided a better understanding of support learning and training, which will be further improved and developed to create a self-learning VR medical training system in the future.

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