Integration of high-resolution mixed reality models into resident training

Background: Historically, surgical anatomy presented visualization and spatial awareness challenges for surgical trainees. The development of spatial computing provided a new avenue for anatomy and image visualization. We present a case of novel application of mixed reality headset in the emergent vascular care. Methods: A retrospective analysis of the emergent endovascular repair of an aortoenteric fistula was performed using an Apple Vision Pro headset and Visage Ease application. A three-dimensional (3D) rendering of chest computed tomography scan using Visage Ease was performed. Ease of use, anatomical visualization, and spatial awareness were evaluated. Results: A 3D model demonstrated the location of stent erosion into the aorta. Rotating, the model in 3D space using gesture-based controls was intuitive, responsive, and easy. The operator learning curve was minimal. Spatial awareness appeared superior to standard picture archiving and communication system workstation-based anatomical visualization. Conclusions: Mixed reality based on spatial computing provides a new avenue for student and resident training in anatomy and radiology. It allows for superb visualization and better spatial awareness than when viewed on a workstation platform and ultimately may provide better case execution.