Research hotspots on the application of virtual reality technology in surgical patients: a visual analysis
Journal Title: Chinese Journal of Clinical Research - Year 2024, Vol 37, Issue 4
Abstract
"<b>Objective</b> To find out the development status and trends of virtual reality (VR) technology in surgical patients by summarizing the research hotspots in its application. <b>Methods</b> With “virtual reality” and “operation” as the subject words, the relevant literature on the application of VR technology in surgical patients from the establishment of the database to July 2023 was retrieved in the core collection of Web of Science, and the bibliographic co-occurrence analysis system was introduced to extract high-frequency keywords and generate a word matrix. The gCLUTO was used for co-word clustering analysis to generate clustering matrix diagrams and visual hill maps. <b>Results</b> A total of 1 672 articles were retrieved, and 354 effective articles were ultimately included after deduplication and screening. There were 27 high-frequency keywords obtained, and cluster analysis identified 4 hotspots, which were classified into 3 directions: research on VR technology improvement and integration with other technologies, research on VR technology and patient outcome indicators, and research on VR technology improving the skills of surgical staff. <b>Conclusion</b> The current research on the application of VR technology in surgical patients is rapidly developing. In the future, further research can focus on improving the design of VR devices and elderly postoperative rehabilitation."
Authors and Affiliations
YIN Yueqing*, YAN Lijie, WANG Jue, XU Yetao
Keywords
Related Articles
- EP ID EP734614
- DOI 10.13429/j.cnki.cjcr.2024.04.017
- Views 5
- Downloads 0
Microsurgical treatment of severe aneurysmal subarachnoid hemorrhage: an analysis of 14 cases
"<b>Objective</b> To analyze the therapeutic effect of microsurgery on patients with severe aneurysmal subarachnoid hemorrhage (SaSAH). <b>Methods</b> A retrospective analysis was conducted on 14 SaSAH patients admit...
Application of dual-modality ultrasound deep learning predictive model in diagnosing breast cancer
Objective To develop a predictive model using deep learning (DL) techniques based on breast ultrasound grayscale images and elastography, and to explore the diagnostic efficacy of this model in differentiating benign fro...
Artificial intelligence advancements in breast cancer ultrasound screening
Ultrasound is the first-line screening method for breast cancer. The application of BI-RADS makes the ultrasound diagnosis of breast diseases relatively consistent, but it is still affected by subjective factors of opera...
Effects of remimazolam combined with mivacurium on recovery quality of patients after vocal cord polypectomy
"<b>Objective</b> To evaluate the effects of remimazolam versus propofol on the quality of postoperative recovery in patients undergoing vocal cord polypectomy with supportive laryngoscopy by the 15-item quality of reco...
Hormone levels and clinicopathological features in patients with thyroid cancer complicated with breast cancer
Objective To study the hormone levels and clinicopathological characteristics of patients with thyroid cancer and breast cancer, and to explore the possible relationship between the two cancers. Methods Clinical data of...