Application and challenges of a metaverse in medicine

Yingshu Wang; Congcong Li; Lai Qu; Hongfei Cai; Yingying Ge

doi:10.3389/frobt.2023.1291199

Application and challenges of a metaverse in medicine

Front Robot AI. 2023 Dec 11:10:1291199. doi: 10.3389/frobt.2023.1291199. eCollection 2023.

Authors

Yingshu Wang^#¹, Congcong Li^#², Lai Qu³, Hongfei Cai², Yingying Ge¹

Affiliations

¹ College of Art, Changchun University of Technology, Changchun, Jilin, China.
² Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, Jilin, China.
³ Department of Critical Medicine, The First Hospital of Jilin University, Changchun, Jilin, China.

^# Contributed equally.

Abstract

Metaverse has been confirmed as a relatively amorphous concept of innovation, which refers to technological advancement. Metaverse, i.e., a coalition between reality world and virtual world, has created significant significance and convenience in education, communication, economy, etc. The COVID-19 outbreak has stimulated the growth of metaverse applications in medicine. The above-mentioned technology has broad applications while comprising online remote medical treatment, online conferences, medical education, preparation of surgical plans, etc. Moreover, technical, security, and financial challenges should be tackled down by the future widespread use of metaverse. Metaverse is limitlessly promising, and it will exert a certain effect on future scientific and technological advancements in the medical industry. The review article primarily aims to summarize the application of the metaverse in medicine and their challenge in the future of medicine.

Keywords: augmented reality; challenge; medicine; metaverse; virtual reality.

Publication types

Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. (1) Application of 3D Simulation Technology in Diagnosis and Treatment of Thoracic Diseases. 20130604050TC. Science and Technology Department of Jilin Province. (2) Research on Artificial Intelligence (AI) for Predicting Benign and Malignant Pulmonary Nodules Based on Machine Deep Learning. 20210204123YY, science and Technology Department of Jilin Province.