VR Trainer©

VR Trainer© is a software platform leveraging 3D visualisation and Virtual Reality (VR) to improve training and surgical planning in relation to liver and lung surgery. 

LiVeR Trainer has been developed together with leading University Hospital UZGent in Belgium and has demonstrated strong increase in the efficiency & engagement in medical training and multi-disciplinary team meetings for patient case preparation.

Next Generation Surgical Planning

Leverage Virtual Reality to improve your surgical planning for complex cases. Among other features the platform enables you to:
- Load Patient 3D data out of medical imaging applications such as Synapse© 3D or other software.
- Combine with medical data such as patient history, radiologic images, including DICOM, etc.
- Explore the tumor details & localisation in stereoscopic 3D, as well as intra-hepatic structures
- Record your session with videos or snapshots

Immersive & Interactive (Grouped) Training

Boost the engagement & efficiency of training, in individual or grouped  sessions, through interactive 3D technology (VR) combined with serious gaming. 
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Available  modules: 
- Liver Module (Segmentation, Brisbane Classification, Intra-hepatic anatomy, Surgical planning)
- Lung Module (Segmentation, Resection types, Intra-pulmonary anatomy, Surgical planning)

Monitor the progress of your students via automated data collection & statistics fed directly to your email address. 

Multi-disciplinary team meetings

Improve the efficiency of team meetings by sharing the image from the VR session, in real time over the meeting room screen.
This setting allows to increase the understanding of gastroenterology specificities by the other specialists, leading to a quicker case preparation and optimal patient outcome. 

BENEFITS

+ Increase training efficiency & engagement of medical residents

+ Boost collaboration between your medical staff, and attract talents
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+ Explore intra-hepatic/pulmonary structures & tumors in stereoscopic 3D to accelerate surgical planning for complex cases, and improve patient outcome