HCAIFeb 6, 2023

Development of an Immersive Virtual Colonoscopy Viewer for Colon Growths Diagnosis

arXiv:2302.02946v22 citationsh-index: 43
Originality Synthesis-oriented
AI Analysis

This work addresses colon growths diagnosis for medical professionals, but it is incremental as it builds on existing desktop-based methods by exploring VR interfaces.

The researchers tackled the problem of time-consuming virtual colonoscopy analysis by developing an immersive VR viewer to improve efficiency while maintaining effectiveness, with planned experiments to evaluate coverage, duration, and diagnostic accuracy.

Desktop-based virtual colonoscopy has been proven to be an asset in the identification of colon anomalies. The process is accurate, although time-consuming. The use of immersive interfaces for virtual colonoscopy is incipient and not yet understood. In this work, we present a new design exploring elements of the VR paradigm to make the immersive analysis more efficient while still effective. We also plan the conduction of experiments with experts to assess the multi-factor influences of coverage, duration, and diagnostic accuracy.

Foundations

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