SmartSIM ‐ a virtual reality simulator for laparoscopy training using a generic physics engine

Khan, Zohaib Amjad; Kamal, Nabeel; Hameed, Asad; Mahmood, Amama; Zainab, Rida; Sadia, Bushra; Mansoor, Shamyl Bin; Hasan, Osman

doi:10.1002/rcs.1771

Cited by 8 publications

(6 citation statements)

References 20 publications

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“…In addition, increasing the playable area provides significantly more options for actions, and high-performance computers and tuning of neural networks will be needed for more complex tasks. 3D operation models are currently being developed and are used in Artificial Intelligence -Emerging Trends and Applications practice for endoscopic surgery simulation [11][12][13][14]. The speed at which high-performance…”

Section: Discussionmentioning

confidence: 99%

Can Reinforcement Learning Be Applied to Surgery?

Sato¹,

Koga²,

Fujii³

et al. 2018

Artificial Intelligence - Emerging Trends and Applications

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Background: Remarkable progress has recently been made in the field of artificial intelligence (AI). Objective: We sought to investigate whether reinforcement learning could be used in sur gery in the future. Methods: We created simple 2D tasks (Tasks 1-3) that mimicked surgery. We used a neu ral network library, Keras, for reinforcement learning. In Task 1, a Mac OS X with an 8 GB memory (MacBook Pro, Apple, USA) was used. In Tasks 2 and 3, a Ubuntu 14. 04LTS with a 26 GB memory (Google Compute Engine, Google, USA) was used. Results: In the task with a relatively small task area (Task 1), the simulated knife finally passed through all the target areas, and thus, the expected task was learned by AI. In con trast, in the task with a large task area (Task 2), a drastically increased amount of time was required, suggesting that learning was not achieved. Some improvement was observed when the CPU memory was expanded and inhibitory task areas were added (Task 3). Conclusions: We propose the combination of reinforcement learning and surgery. Appli cation of reinforcement learning to surgery may become possible by setting rules, such as appropriate rewards and playable (operable) areas, in simulated tasks.

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Section: Discussionmentioning

confidence: 99%

Can Reinforcement Learning Be Applied to Surgery?

Sato¹,

Koga²,

Fujii³

et al. 2018

Artificial Intelligence - Emerging Trends and Applications

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“…-Instrucciones visuales: según (Khan, 2017) se refiere a los efectos visuales que pueden orientar al cirujano sobre cómo realizar el procedimiento y al mismo tiempo alertarlo si toca un objeto incorrecto.…”

Section: Alcanceunclassified

“…Sabiendo que existen limitaciones, pero que hay un gran potencial de mejora y aplicaciones.Complementando la aplicación de POC, se verificó en la literatura que el desarrollo de un artefacto donde el usuario pueda trabajar de manera similar al mostrado en la Figura 7 es de suma importancia. No solo por la retroalimentación de los expertos descrita en el último ítem, sino también, como destacan (Khan et al, 2017), que esto deja al cirujano con cinco movimientos posibles: Superior / Inferior; movimiento de la cabeza a los pies (inclinación), Mediolateral; movimiento de izquierda a derecha (guiñada), rotación alrededor del eje longitudinal (rotación), anteroposterior; adentro y afuera (traducción) y abre / cierra la garra (agarrar). Como se puede apreciar en la literatura, el uso de instrumentos como controlador es muy similar a la realidad, ya que limita el movimiento que el cirujano puede realizar durante el procedimiento.…”

Section: Desarrollo De Artefactosunclassified

Diseño de entrenamientos en realidad virtual inmersiva para cirugía endoscópica

Catapan¹,

Mercado²,

Almeida³

et al. 2022

EJEER

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Actualmente, el aprendizaje en cirugía endoscópica no es de fácil acceso, porque hay pocos especialistas que impartan esta técnica y son pocos los centros educativos que cuentan con equipos tecnológicos de formación quirúrgica endoscópica. Además, un cirujano necesita muchas horas de práctica para dominar la técnica. Una posible solución para esto es el entrenamiento en realidad virtual, porque esta tecnología es muy accesible en la actualidad. Por eso en este trabajo se realiza una revisión bibliográfica sistemática para identificar el estado del arte de estos sistemas, para posteriormente diseñar y testar un sistema de entrenamiento en realidad virtual inmersiva con especialistas del área a través de una prueba de concepto.

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“…Khan, A. Mahmood, S.B. Mansoor, B. Sadia, and R. Zainab, which discusses virtual reality simulators for laparoscopic training using generic physics engine (Khan et al, 2017). The authors who had no relation to other authors on the topic of VR in physics are S. Chen, M. Neroni, A. Oti, N. Crilly, J.E.…”

Section: Bibliometric Analysis Based On Text Datamentioning

confidence: 99%

One Decade Trends of Virtual Reality Publication in Physics (2012-2021)

Citra

Anggaryani²

2022

JPMIPA

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This bibliometric Study aims to scope the trend of virtual reality (VR) publications in physics for 2012-2021 with Scopus and Google Scolar as literature sources. The results of bibliometric study show that the trend in VR research increased annually. In one decade, 68 published papers indicated the growth of VR research in physics. About 60% of papers were published in conference proceedings. The mapping of papers' origin identified the United States as the top country contributing to VR research publications and the leading publishers of the Institute of Electrical and Electronics Engineers Inc. and Springer. VR research has been growing well in developed countries. Meanwhile, developing countries seem to follow the trend that can be seen from the author's origins. "Virtual reality, physics, application, study, and use" are often used as keywords by the authors. The top three authors were identified from Kazakhstan, namely Y. Daineko, M. Ipalakova, and D. Tsoy. Indonesia also contributed with two publications from Jurnal Penelitian Pendidikan Fisika (JPPF) and Jurnal Pendidikan Indonesia (JPI). Even though this study has limitations in exploring the trend based on specific keywords, periods, and sources, these results are valued as a stepping stone in framing VR research in the future.

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SmartSIM ‐ a virtual reality simulator for laparoscopy training using a generic physics engine

Cited by 8 publications

References 20 publications

Can Reinforcement Learning Be Applied to Surgery?

Can Reinforcement Learning Be Applied to Surgery?

Diseño de entrenamientos en realidad virtual inmersiva para cirugía endoscópica

One Decade Trends of Virtual Reality Publication in Physics (2012-2021)

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