AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey

AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey

Yixuan Wu, Kaiyuan Hu, Danny Z. Chen, Jian Wu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence
Survey Track. Pages 8326-8334. https://doi.org/10.24963/ijcai.2024/920

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.nTo our best knowledge, this work is the first systematic survey of AI-powered VR systems in medical settings, laying a foundation for future research in this interdisciplinary domain.
Keywords:
Multidisciplinary Topics and Applications: MTA: Health and medicine
Computer Vision: CV: 3D computer vision
Computer Vision: CV: Action and behavior recognition
Computer Vision: CV: Applications
Computer Vision: CV: Biomedical image analysis
Computer Vision: CV: Motion and tracking
Computer Vision: CV: Recognition (object detection, categorization)
Computer Vision: CV: Scene analysis and understanding   
Computer Vision: CV: Segmentation
Multidisciplinary Topics and Applications: MTA: Real-time systems