This project aims to combine virtual reality (VR) technologies to construct a metaverse simulation lung surgery platform, which can not only be used as equipment for training novices, but also as a simulated rehearsal before actual surgery, to improve the safety and smoothness of difficult surgeries.
During the training process of surgeons, hands-on operation has always been the highest guiding principle. Even the most basic and simple surgery requires actual operation before it can be truly learned. However, today, with the increasing awareness of patients, it is slowly becoming unfeasible to let novices directly use patients as practice subjects. In addition to being subject to medical ethics, patients are increasingly unwilling to act as guinea pigs for novice surgeons to practice on, so the time it takes for surgeons to mature their surgical skills is getting longer and longer. The metaverse simulation surgery training platform that this project aims to create hopes to train novices through maximized simulation, feedback on hand feel and force, coordination of instruments and other essentials of mature surgeons. Currently, when the investigators face difficult surgeries, the investigators have many preoperative simulation images (such as Fujifilm's Synapse, Figure 1), as well as intraoperative navigation technology to guide the surgery through the reconstructed physiological structure map. To a certain extent, this is also the prototype of the metaverse surgery platform, but the investigators can do better. Because these simulation tools are currently only auxiliary in nature, such as constructing visible 3D images to let us know the location of the tumor and the relative position of important neighboring organs. In the end, the investigators still have to simulate these auxiliary images in our brains. Not only is there no actual operation, but due to the different experiences of each surgeon, the results of "brain simulation" will also be different. Therefore, such simulations lack reproducibility and are not completely objective. Therefore, the investigators are trying to create a metaverse simulation surgery system so that preoperative simulations and rehearsals can have the greatest degree of realism, precision and objectivity.
Study Type
OBSERVATIONAL
Enrollment
70
The investigators have finished is personalized 3D model translation from CT images into virtual 3D model demonstrated in VR glasses using Synapse.
Department of Surgery, National Taiwain University Hospital
Taipei, Taiwan
RECRUITINGquestionnaires
To evaluate the satisfaction levels of students or operators
Time frame: Through study completion, an average of 1 year.
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