AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey

February 05, 2024 ยท The Cartographer ยท ๐Ÿ› International Joint Conference on Artificial Intelligence

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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Authors Yixuan Wu, Kaiyuan Hu, Danny Z. Chen, Jian Wu arXiv ID 2402.03093 Category cs.CV: Computer Vision Cross-listed cs.HC Citations 12 Venue International Joint Conference on Artificial Intelligence Last Checked 23 hours ago
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.
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