An Evaluation of Inanimate and Virtual Reality Training for Psychomotor Skill Development in Robot-Assisted Minimally Invasive Surgery

Caccianiga, Guido; Mariani, Andrea; Momi, Elena De; Cantarero, Gabriela; Brown, Jeremy D.

doi:10.1109/tmrb.2020.2990692

Cited by 19 publications

(24 citation statements)

References 43 publications

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“…to general motion compensation for working in regions undergoing physiological motion [68] or control considering uncertainties [204]. [13]- [18] [13]- [15] [13]- [15], [17], [18] [13]- [15], [17], [18] [19] [19], [20] [21]…”

Section: Database Search and Filteringmentioning

confidence: 99%

“…Several studies proposed the development of training platforms in either a dry lab setting [20] or in simulation [21]. The research also focused on the development of training protocols, where the data from expert surgeons were used for mentoring [71], [119], [146] or the training curriculum was automatically adapted to the trainee [233], [235], [237], [261].…”

Section: Training Platforms and Protocolsmentioning

confidence: 99%

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Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit

D'Ettorre

Mariani

Stilli

et al. 2021

IEEE Robot. Automat. Mag.

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This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.R obotic-assisted surgery is now well established in clinical practice and has become the gold-standard clinical treatment option for several clinical indications. The field of robotic-assisted surgery is expected to grow substantially in the next decade, with a range of new robotic devices emerging to address unmet clinical needs across different specialties. A vibrant surgical robotics research community is pivotal for conceptualizing such new systems as well as for developing and training the engineers and scientists to translate them into practice. The da Vinci Research Kit (dVRK), an academic and industry collaborative effort to repurpose decommissioned da Vinci surgical systems [Intuitive Surgical Inc. (ISI), California, USA] as a research platform for surgical robotics research, has been a key initiative for addressing a barrier to entry for new research groups in surgical robotics. In this article, we present an extensive review of the publications that have been facilitated by the dVRK over the past decade. We classify research efforts into different categories and outline some of the major challenges and needs for the robotics community to maintain and build upon this initiative.

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Section: Database Search and Filteringmentioning

confidence: 99%

Section: Training Platforms and Protocolsmentioning

confidence: 99%

Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit

D'Ettorre

Mariani

Stilli

et al. 2021

IEEE Robot. Automat. Mag.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the animation captured in Fig. (11), the soft tissue model only returns to the original shape after the model has reached the maximum depth, but when working with user input, the training system developers have to keep in mind that the user may push the model only half way down after which the tool is removed, therefore, the soft tissue would have to return back to its original shape. This will be achieved by a statement which will order the wave equation to move in the direction of the original shape, when there is no collision between the tool and the soft tissue model.…”

Section: (8)mentioning

confidence: 99%

A Technique for Mimicking Soft Tissue Manipulation from Experimental Data to a Wave Equation Model for a New Laparoscopic Virtual Reality Training System

Nillahoot¹,

Patel²,

Suthakorn³

2021

TOBEJ

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Background: The difficulty of laparoscopic procedures and the specific psychomotor skills required support the need for a training system for intensive and repetitive practice to acquire the specific skills. The present VR training systems have some limitations with respect to the soft tissue models in the training system. This is associated with the need for a real-time simulation, which requires a balance between computational cost and accuracy. Objective: The primary objective of the study is to develop a two dimensional wave equation model that closely mimics the soft tissue manipulation in a laparoscopic procedure for a VR training system. Methods: A novel mathematical model based on the wave equation is prepared to represent the interaction between the laparoscopic tool and the soft tissue. The parameters within the model are determined through experimental analysis of a soft tissue phantom. The experimental setup involves a linear actuator applying force to the soft tissue phantom to generate deformation. Data acquisition is conducted through a camera and a robotic force acquisition system which measures force, displacement of the linear actuator and records a video. Through image processing, the displacements of the markers on the phantom’s x-y plane during its deformation are determined and these parameters are used to develop the model, which finally is validated through a comparative analysis. Results: The results from the developed model are observed and compared statistically as well as graphically with the finite element model based on deformation data. The results show that the deformation data between the developed model and the available model is significantly similar. Conclusion: This study demonstrates the adaptability of the wave equation to meet the needs of the specific surgical procedure through modification of the model based on the experimental data. Moreover, the comparative analysis further corroborates the relevance and validity of the model for the surgical training system.

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“…In addition to the potential problems of VR in test scenarios and as a teaching tool (Rourke, 2020), doubts exist for VR application in the skill training of robot‐assisted minimally invasive surgery. For example, the assessment of operation training for the da Vinci Surgical System have been reported to be overly subjective; thus, whether the skills acquired through such training can be applied to the real‐world clinical setting remains questionable (Caccianiga et al., 2020). Therefore, problems regarding the design and objectives of assessment instruments should not be overlooked in the application of VR in skill learning.…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of virtual reality application on skill learning for optical‐fibre fusion splicing

Chang

2021

Brit J Educational Tech

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Virtual reality (VR) is a way of digitally simulating or replicating an environment (Meyer et al., 2019). The four fundamental elements of VR are three-dimensional multimedia, immersion, sense of presence and interactions between the virtual and real environments (Makransky et al., 2019;Radianti et al., 2020). From its application in entertainment in the 1960s to flight training purposes in the 1980s (Makransky et al., 2019;van Ginkela et al., 2019), VR has demonstrated favourable teaching effects and widespread applications

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An Evaluation of Inanimate and Virtual Reality Training for Psychomotor Skill Development in Robot-Assisted Minimally Invasive Surgery

Cited by 19 publications

References 43 publications

Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit

Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit

A Technique for Mimicking Soft Tissue Manipulation from Experimental Data to a Wave Equation Model for a New Laparoscopic Virtual Reality Training System

Effects of virtual reality application on skill learning for optical‐fibre fusion splicing

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