conference-paper

XR for educational anatomy: an Immersive human atlas with chatbot

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Abstract

Immersive reality has emerged as a groundbreaking and promising approach for teaching anatomy, providing unique learning experiences while complementing traditional educational methods. Existing immersive software, such as Organon® and HoloLens®, offer valuable tools but remain limited in anatomical detail and interactivity. We present a novel educational approach: an immersive human atlas that integrates anatomical slices from the Visible Korean Human dataset (male and female) into a 3D environment. This platform enhances anatomical visualization and incorporates a Large Language Model (LLM) to support user interaction and understanding. By combining precise anatomical slices within the 3D model, the atlas provides an enriched and comprehensive learning experience for medical education.

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Publication details

DOI
10.1109/vrw66409.2025.00205
OpenAlex
W4409762574
Document type
conference-paper
Language
EN
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