Urgent needs, opportunities and challenges of virtual reality in healthcare and medicine in the era of large language models
The convergence of large language models (LLMs) and virtual reality (VR) technologies has led to significant breakthroughs across multiple domains, particularly in healthcare and medicine. Owing to its immersive and interactive capabilities, VR technology has demonstrated exceptional utility in surgical simulation, rehabilitation, physical therapy, mental health, and psychological treatment. By creating highly realistic and precisely controlled environments, VR not only enhances the efficiency of medical training but also enables personalized therapeutic approaches for patients. The convergence of LLMs and VR extends the potential of both technologies. LLM-empowered VR can transform medical education through interactive learning platforms and address complex healthcare challenges using comprehensive solutions. This convergence enhances the quality of training, decision-making, and patient engagement, paving the way for innovative healthcare delivery. This study aims to comprehensively review the current applications, research advancements, and challenges associated with these two technologies in healthcare and medicine. The rapid evolution of these technologies is driving the healthcare industry toward greater intelligence and precision, establishing them as critical forces in the transformation of modern medicine.
Authors
- Zhouyu Guan (ORCID: https://orcid.org/0009-0008-5102-0067)
- Weiping Jia (ORCID: https://orcid.org/0000-0002-6244-2168)
- Qiang Zheng (ORCID: https://orcid.org/0000-0002-9279-7779)
- Huating Li (ORCID: https://orcid.org/0000-0003-0526-5545)
- Dian Zeng (ORCID: https://orcid.org/0000-0002-5592-9584)
- Chwee Teck Lim (ORCID: https://orcid.org/0000-0003-4019-9782)
- Xiaoli Xu (ORCID: https://orcid.org/0000-0002-0286-545X)
- Tien Yin Wong (ORCID: https://orcid.org/0000-0002-8448-1264)
- Haoxuan Li (ORCID: https://orcid.org/0000-0002-3486-3643)
- Yiming Qin (ORCID: https://orcid.org/0000-0001-8831-1644)
- Bin Sheng
- Enhua Wu
- Wen Yang (ORCID: https://orcid.org/0000-0002-2032-1982)
Institutions
- National University of Singapore (SG)
- Shenzhen University (CN)
- Shanghai Jiao Tong University (CN)
- Shanghai University of Sport (CN)
- University of Macau (MO)
- Zhongshan Hospital (CN)
- Institute of Software (CN)
- Shanghai Sixth People's Hospital (CN)
- Beijing Tsinghua Chang Gung Hospital (CN)
- Chengdu University of Traditional Chinese Medicine (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Virtual Reality & Intelligent Hardware
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.vrih.2025.08.001
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00