Integration of high-resolution mixed reality models into resident training

20260 citationsJournal Articlegold Open Access

Authors

Chaitanya Dandu · Yale University

Brandon A. Creisher · Yale University

Melissa Davis · Yale University

MingDe Lin · Sage Technologies (United States)

Stefan Schenke

Edouard Aboian · Yale University

Abstract

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.

Topics & Keywords

Augmented Reality Applications Surgical Simulation and Training Virtual Reality Applications and Impacts

Publication Details

Published in: Journal of Vascular Surgery Cases and Innovative Techniques

Volume 12, Issue 2, pp. 102133-102133

DOI: 10.1016/j.jvscit.2026.102133

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Integration of high-resolution mixed reality models into resident training

Authors

Abstract

Topics & Keywords

Publication Details