{"type":"ScholarlyArticle","title":"AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey","authors":[{"name":"Yixuan Wu","slug":"yixuan-wu","given":"Yixuan","family":"Wu","affiliation":"School of Public Health , Zhejiang University , Hangzhou 310058 , China; State Key Laboratory of Transvascular Implantation Devices of The Second Affiliated Hospital , Zhejiang University School of Medicine , Hangzhou 310009 , China; Institute of Wenzhou , Zhejiang University , Hangzhou 325036 , China"},{"name":"Kaiyuan Hu","slug":"kaiyuan-hu","given":"Kaiyuan","family":"Hu","affiliation":"School of Science and Engineering , The Chinese University of Hong Kong , Shenzhen , China"},{"name":"Danny Z. Chen","slug":"danny-z-chen","given":"Danny Z.","family":"Chen","affiliation":"Department of Computer Science and Engineering , University of Notre Dame , USA"},{"name":"Jian Wu","slug":"jian-wu","given":"Jian","family":"Wu","affiliation":"School of Public Health , Zhejiang University , Hangzhou 310058 , China; State Key Laboratory of Transvascular Implantation Devices of The Second Affiliated Hospital , Zhejiang University School of Medicine , Hangzhou 310009 , China"}],"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.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.","doi":"10.24963/ijcai.2024/920","url":"https://ijcai.org/proceedings/2024/920","pdf":"https://ijcai.org/proceedings/2024/0920.pdf","markdown":"https://ijcai.org/proceedings/2024/920.md","bibtex":"https://ijcai.org/proceedings/2024/bibtex/920","volume":{"slug":"2024","title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2024","url":"https://ijcai.org/proceedings/2024/","year":2024,"location":"Jeju, Korea","dates":"3-9 August 2024","editors":"Kate Larson","isbn":"978-1-956792-04-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2024"},"section":"Survey Track","track":"Survey Track","number":920,"pages":{"first":8326,"last":8334},"keywords":["Computer Vision: CV: Scene analysis and understanding","Computer Vision: CV: Biomedical image analysis","Computer Vision: CV: Motion and tracking","Computer Vision: CV: Action and behavior recognition","Computer Vision: CV: Applications","Multidisciplinary Topics and Applications: MTA: Health and medicine","Multidisciplinary Topics and Applications: MTA: Real-time systems","Computer Vision: CV: Segmentation","Computer Vision: CV: Recognition (object detection, categorization)","Computer Vision: CV: 3D computer vision"],"videos":[],"references":[{"position":1,"raw":"[Bai et al., 2023] Long Bai, Mobarakol Islam, et al. 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