Immersive and Interactive Visualization of Otological Anatomy: Advancing an AI-Integrated Medical Education Platform

Authors

  • Manjit Sidhu Dept. of Graphics and Multimedia, College of Informatics, Universiti Tenaga Nasional. Kajang, Selangor, Malaysia https://orcid.org/0000-0003-2144-8712
  • Kirandeep Sidhu Faculty of Medicine and Health Sciences, Sg. Long, Selangor, Universiti Tunku Abdul Rahman (UTAR) https://orcid.org/0000-0002-9159-6000
  • Avin Mahajan

DOI:

https://doi.org/10.56532/mjsat.v6i1.726

Keywords:

Metaverse, Interactive, AI, Anatomy, Visualization

Abstract

Aural anatomy remains one of the most spatially complex domains in medical education due to the intricate three-dimensional relationships within the middle and inner ear. While immersive technologies have demonstrated measurable improvements in anatomical learning, existing systems such as OtoVIS primarily focuses on photorealistic visualization without fully integrating artificial intelligence (AI), curriculum alignment, multi-user collaboration, or commercialization frameworks. This study introduces OtoVisionXR, an AI-integrated extended reality (XR) platform designed to enhance anatomical comprehension, learner engagement, and clinical relevance. A controlled pre-test/post-test validation study was conducted among 30 first-year medical students. Statistical analysis demonstrated significant improvement in knowledge scores following XR exposure (Pre-test: M = 56.4, SD = 8.7; Post-test: M = 78.9, SD = 7.5; t (29) = 14.62, p < 0.001; Cohen’s d = 1.92). Learner perception ratings exceeded 6.2/7 across engagement and visualization domains. Percentage improvement reached 39.9%. The platform further demonstrates scalability for rural medical centres and continuing professional development programs. These findings position OtoVisionXR as a validated, societally relevant, and commercially viable immersive learning solution.

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Published

2026-03-29

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Articles

How to Cite

[1]
“Immersive and Interactive Visualization of Otological Anatomy: Advancing an AI-Integrated Medical Education Platform”, Malaysian J. Sci. Adv. Tech., vol. 1, no. 1, pp. 79–85, Mar. 2026, doi: 10.56532/mjsat.v6i1.726.