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Título
Impact of Robot-Assisted Surgery and 3D Vision Systems with Virtual Reality on Medical Training
Autor(es)
Palabras clave
Robot-assisted surgical approach
Anatomy of the lung
3D view
Fecha de publicación
2024-05-24
Editor
Springer Nature Singapore
Citación
Izquierdo, M. M., López, M. F. J., & Méndez, J. A. J. (2023, October). Impact of Robot-Assisted Surgery and 3D Vision Systems with Virtual Reality on Medical Training. In International conference on technological ecosystems for enhancing multiculturality (pp. 223-231). Singapore: Springer Nature Singapore.
Resumen
Robot-assisted surgery has changed the way in which surgery is practiced,
as well as the way in which it is taught and learnt. These robotic devices
designed for surgical interventions have been used to teach surgical approaches and
practice with three-dimensional virtual anatomic models instead of patients. Medical
training has also been transformed over the last years, with significant changes
due to the use of different tools and technological devices that are increasingly
similar to reality and allowstudents to acquire skills and competences through a 3D
visualization of anatomical structures. In spite of the advantages of robot-assisted
surgery, it requires a learning process, just as any other innovative procedure,
since there are several limitations that need to be considered, such as ergonomic
obstacles, the difficulty to visualize some anatomical structures and the lack of
control of certain movements in the operating console. This study will present
the possibilities for morphological visualization of these robotic systems, as well
as the advantages of these surgical procedures in the results on the patient and
in the visualization of anatomical structures. The study will analyze a surgical
approach of the lung as an example of the possibilities of these devices. The Da
Vinci robot will be used, and the anatomical structures of the area will be observed
through a 3D reconstruction system based on computerized tomography sections
that creates images with virtual reality techniques.
URI
DOI
https://doi.org/10.1007/978-981-97-1814-6_21
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