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Computer Science > Computer Vision and Pattern Recognition

arXiv:2402.03093 (cs)
[Submitted on 5 Feb 2024 (v1), last revised 11 Jul 2024 (this version, v3)]

Title:AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey

Authors:Yixuan Wu, Kaiyuan Hu, Danny Z. Chen, Jian Wu
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Abstract:With the rapid advance of computer graphics and artificial intelligence technologies, the ways we interact with the world have undergone a transformative shift. Virtual Reality (VR) technology, aided by artificial intelligence (AI), has emerged as a dominant interaction media in multiple application areas, thanks to its advantage of providing users with immersive experiences. Among those applications, medicine is considered one of the most promising areas. In this paper, we present a comprehensive examination of the burgeoning field of AI-enhanced VR applications in medical care and services. By introducing a systematic taxonomy, we meticulously classify the pertinent techniques and applications into three well-defined categories based on different phases of medical diagnosis and treatment: Visualization Enhancement, VR-related Medical Data Processing, and VR-assisted Intervention. This categorization enables a structured exploration of the diverse roles that AI-powered VR plays in the medical domain, providing a framework for a more comprehensive understanding and evaluation of these technologies. To our best knowledge, this is the first systematic survey of AI-powered VR systems in medical settings, laying a foundation for future research in this interdisciplinary domain.
Subjects: Computer Vision and Pattern Recognition (cs.CV); Human-Computer Interaction (cs.HC)
Cite as: arXiv:2402.03093 [cs.CV]
  (or arXiv:2402.03093v3 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2402.03093

Submission history

From: Yixuan Wu [view email]
[v1] Mon, 5 Feb 2024 15:24:13 UTC (7,381 KB)
[v2] Mon, 8 Jul 2024 03:55:02 UTC (4,899 KB)
[v3] Thu, 11 Jul 2024 06:50:50 UTC (2,903 KB)
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