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REVIEW article

Front. Robot. AI, 11 December 2023
Sec. Biomedical Robotics
Volume 10 - 2023 | https://doi.org/10.3389/frobt.2023.1291199

Application and challenges of a metaverse in medicine

www.frontiersin.orgYingshu Wang1 www.frontiersin.orgCongcong Li2 www.frontiersin.orgLai Qu3 www.frontiersin.orgHongfei Cai2* www.frontiersin.orgYingying Ge1*
  • 1College of Art, Changchun University of Technology, Changchun, Jilin, China
  • 2Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, Jilin, China
  • 3Department of Critical Medicine, The First Hospital of Jilin University, Changchun, Jilin, China

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.

Introduction

All persons in practice have a network avatar in 3-dimensional (3D) virtual reality, termed metaverse, which was first proposed by American novelist Neal Stephenson in his novel “Snow Crash” published in 1992. Metaverse has become a reality with advances in technology and society, and it has been extensively known in a wide variety of fields. The Acceleration Studies Foundation (ASF), a reputable metaverse research group, has released the four categories of metaverse in 2006, which were dependent on the two axes (Kye et al., 2021). To be specific, the four categories of metaverse comprise augmented reality (AR), lifelogging, mirror worlds, and virtual reality (VR), the two axes refer to augmentation versus simulation and intimate versus external (Figure 1). The above-mentioned categories and axes can reveal whether the implemental space is reality-centered or virtual-centered, as well as whether the implemental information is external environment information-centered, or intimate information-centered. It is admitted that metaverse is rapidly spreading to all industries. In 2021, metaverse was defined newly as “a world in which virtual and reality interact and co-evolve, and social, economic, and cultural activities take place in them to create value” by Lee (SPRi, 2021). Furthermore, it has been defined as “a 3D-based virtual reality in which daily activities and economic life are conducted through avatars representing the real themselves” by Go (Sparkes, 2023).

FIGURE 1
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FIGURE 1. Diagram of 4 types of the metaverse based on 2 axes (Kye et al., 2021).

Augmented reality (AR)

Augmented Reality (AR) refers to a virtual three-dimensional (3D) version of reality world over which external information is transformed computer-generated virtual information. The real-time interactive experience between real world and virtual world has been advancing user’s experience of existing real world (Ayoub and Pulijala, 2019). In general, users have employed glasses, lenses, smartphone, and computers, with the typical examples of AR stereoscopic images and 3D construction.

Virtual reality (VR)

Virtual reality has been recognized as a completely virtual 3D world. In this world, individual information is superimposed on 3D computer generated environments that users are enabled to immerse themselves in for interaction and exploration (Bruno et al., 2022). Users register a virtual personalization avatar in the virtual world for activation and communication. The specific examples cover virtual reality training program and virtual hospitals.

Lifelogging

Lifelogging refers to a record-keeping platform where users can record their real individual information using a virtual format to share with others, with typical examples of Instagram, Facebook, Twitter, and health monitors (Petrigna and Musumeci, 2022).

Mirror worlds

Mirror world (e.g., Zoom meeting, BizConf Video, and 360-degree video) is a virtual world that is replicated in accordance with real external events to create a repeated environmental experience for users.

A mirror copy of the real world is termed metaverse, which is generated using a mix of digital science and technology (Davis et al., 2009; Skalidis et al., 2022a). Undoubtedly, metaverse can significantly affect people’s lives as a versatile platform where a considerable number of activities are being conducted, and a critical revolution in medicine may be launched.

The conventional medical model practice is dependent on direct physical contact, whereas it is subjected to the drawbacks of being time-consuming and expensive to get there, whereas technological healthcare has been accelerated by the Corona Virus Disease 2019 (COVID-19). Since 2019, this new reality has completely changed how science and technology are developed in the medical industry, such that it has aroused wide attention from researchers. Metaverse has provided a novel perspective regarding medical development and opened a significant position in the field of health. The above-mentioned technologies are progressively entering the mainstream. Innovative technology has rapidly gained popularity and thrived in the medical and health sectors since digital technology has been leaping forward. Metaverse has been confirmed as one of the revolutionary technologies for its successful and innovative idea. Since metaverse is merging, numerous medical professionals will explore its wide applications in depth. Currently, metaverse has been extensively employed in the medical field.

Thus, insights into the concept and types of the metaverse and examples of its medical applications should be gained.

Review

Telemedicine and meeting

Patients can greatly benefit from telemedicine which makes countries’ medical systems unrestricted of time and space especially in rural areas. Numerous virtual hospital apps can offer functionalities of medical consultation, health monitoring, outpatient appointments, even online payment for medical project (Wang et al., 2020). Virtual hospital platform (e.g., spine Metaverse) has proposed the possible application in spine care, with the aim of overcoming several obstacles (e.g., general unaffordability of advanced care, shortages of nursing, hospital beds, and nursing homes) (Chapman et al., 2022). Remote surgery maximizes the use of available medical resources while educating a novel generation of medical professionals who will completely reimagine the medical system (Berber et al., 2016; Veneziano et al., 2020; Zheng et al., 2020; Zhao et al., 2022). The 12-lead electrocardiogram equipment, regardless of the participants’ locations, blood pressure and heart rate monitors, and pulse oximeters are all already available telemedicine services in cardiovascular medicine; the relevant results can be evaluated during the visit (Skalidis et al., 2022a; Skalidis et al., 2022b). In stomatology, metaverse can facilitate remote oral health education or conversations for target participants with no quantitative restriction, which takes on critical significance in the oral health of children in poor mountain areas, and a headset with a see-through eye display 3D images of canal morphology based on CT scans or X-ray version (Albujeer and Khoshnevisan, 2022; Kurian et al., 2022). Telemedicine is applied for disease management and care, as well as for Global Positioning System in patient to get treatment immediately. Telemedicine is capable of significantly reducing the barriers for patients to receive medical treatment, such that doctors are enabled to break through geographical limitations and maximize the utilization of medical resources. Patient data sharing can contribute to the advance of clinical research.

Online conferences include 2D images and 3D environment with digital avatars, we will be able to participate in worldwide events with our coworkers while moving around freely with holographic avatars and exchanging cutting-edge medical knowledge with experts. To train specialists from a wide range of fields in multidisciplinary conversations and examine an imaging series of 2D slices to shared navigation in a 3D organ, the fetal medicine and gynecology fields have employed metaverse (Werner et al., 2022).

Education and training

Metaverse can optimally serve as a training platform for medical education. For instance, students can grasp surgical procedures through virtual video using VR glasses (Figure 2A) or software (e.g., Atlas), while they can show 3D mechanism diagrams to visualize biological reactions. Smart operating rooms are adopted to train lung cancer surgery using metaverse extended reality to fulfill the growing need for non-face-to-face education in the Korean medical community (Koo, 2021). A virtual reality training program for endotracheal intubation (Khundam et al., 2021) published in the Journal of educational evaluation for health professionals (JEEHP) (Figure 2B). 360-degree video, the mirror world with scenarios similar to the real environment and avatars that can interact with each other, enable students to learn the basics of emergency care and experience surgical procedures more easily without time restriction (Wu and Ho, 2023). Mirror world may be more promising in the coming years in education of prehospital and disaster medicine. Another realization refers to the haptic gloves applied for dental students who can feel virtual objects while suturing or blocking nerves (Kurian et al., 2022). It was discovered that medical education has improved. A virtual reality medical training system that can learn and train on its own will undoubtedly be created in the future to keep abreast with the advancement of social education today. Seoul National University Bundang Hospital created the platform for spine surgery using augmented reality (MS. P, 2021), and this platform is capable of showing a real-time projection of pedicle screws for spinal fixation on the human body structure. Based on the above-described platform, they will develop a spinal surgery education program to implement an effective education system. Our hospital has a simulated bronchoscope simulator and gastroscope simulator, thus providing young doctors with training and practice before the actual operation for improving the smoothness, success of the medical operation, and the examination experience of patients. As revealed by the above analysis, the healthcare sector is already using VR/AR, i.e., the core technology of the metaverse and will benefit a lot from it in the future. The potential of the metaverse as a novel educational tool is elucidated below: a novel learning environment free from time and location restrictions; a virtual platform allowing students to practice medical procedures repeatedly without worrying about the repercussions of failure; the ability to experience and fully immerse themselves in reality through virtualization.

FIGURE 2
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FIGURE 2. (A) Anatomical education through VR; (B) A virtual reality endotracheal intubation training (Khundam et al., 2021).

Metaverse makes surgery more successful

The metauniverse-based virtual 3D representation makes the surgery go on more smoothly than before. Volonté et al. (2013) reported the use of AR stereoscopic images of the Da Vinci robot for cholecystectomy. It has also been reported that AR technology provides doctors with a detailed view of important anatomy to guide the successful implementation of endoscopic radical prostatectomy (Chen et al., 2014; Mahmud et al., 2015). AR has been explored in the field of cardiac intervention, AR-based image analysis tools to measure the diameter and length of fluoroscopically identified vessel strictures might facilitate accurate stent selection for optimal treatment (Chen et al., 2014). AR can work with existing endoscopy set-ups makes clear the classification of polyps under gastroscope and improves the detection rate of adenomas (Mahmud et al., 2015). AR smart glasses have been confirmed with tactical advantages in prehospital triage in comparison with conventional approaches during mass casualty incidents (Wu and Ho, 2022). 3D reconstruction, a critical technology for establishing VR to express the objective world on a computer, has been employed in numerous subjects to reconstruct the two-dimensional (2D) CT image into a 3D image to display the lesion location and surrounding important tissues. For thoracic surgeons, 3D reconstruction holds significant clinical value for preoperative assessments regarding lesions and blood vessels (Figure 3). 3D reconstruction helps clinicians develop a more favorable operation plan of patients and increase operation safety (Jackson et al., 2003; Zhang and Liu, 2016; Song et al., 2021). Subsequently, using 3D printing technology, 3D images can be converted into solid objects that are currently applied in orthopedics, congenital heart disease, and thoracic surgery for the chest wall reconstruction and achieved good curative effect and functional reconstruction (Smelt et al., 2020; Wu et al., 2021). With the progress of science and technology, 1 day, the preoperative surgeon can perform surgical operation repeatedly before realistic surgery on the 3D image, such that the actual scene of the lesion can be completely reproduced in metaverse.

FIGURE 3
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FIGURE 3. The 3D reconstruction image based on the 2D CT image in the First Hospital of Jilin University. (A) Coronal view of a 2D CT lesion. (B) Transverse view of a 2D CT lesion. (C) Sagittal view of a 2D CT lesion. (D) Three-dimensional reconstruction image based on the 2D CT lesion.

Metaverse for disease management

VR-based Metaverse has served as efficient tools in the treatment of various mental health disorders (Usmani et al., 2022). To be specific, VR cognitive therapy has been employed in delusions, psychosis, and schizophrenia. VR social skills training session allowed anxiety, phobias, and post-traumatic stress disorder patients to engage and acquire skills in communication. Moreover, children who are subjected to attention deficit hyperactivity disorder are more receptive to VR-environment for patient compliance. As revealed by the results, VR is capable of achieving pain management by distracting and stimulating patients to generate neurophysiological changes; it is conducive to reducing opioid use and misuse (Gupta et al., 2017). Notably, it takes on critical significance in pediatric pain and management which is a headache for doctors. Besides, VR can create a scenery environment outside the hospital to facilitate mental health of cancer patients.

Challenges and developments

However, for data leakage and network stability, despite its significant negative effects on patient privacy, network signal disruption, and security, metaverse can exert positive and adverse effects simultaneously (Figure 4). To make it safe for usage, the problems should be addressed. The usage of non-fungible tokens (NFTs), a security measure for patient privacy, which are distinct data units registered in blockchains and adopted to track ownership of digital assets, is likely to be a feasible answer (Bamakan et al., 2022; Skalidis et al., 2022b; Gambril et al., 2022). Advanced science and technology are required to support the widespread use of the metaverse in medicine, comprising a stable and streamlined network, high-quality computer processors, the creation of VR equipment, etc. Nevertheless, advanced science and technology cannot exist independently of economic support. To assure medical safety, considerable clinical trials should be performed for metaverse. In-depth research into cost-saving measures for the widespread use of metaverse in medical care should be further conducted to ensure that it does not merely benefit a small group of wealthy plutocrats. Furthermore, future security efforts will place a high premium on perfecting network security regulations and monitoring. The relevant field will be changed through the application of the metaverse in diagnosis, therapy, medical education, postoperative follow-up, and other areas of medicine (Sandrone, 2022). It is also noteworthy that the development of medical-associated businesses will be more convenient and efficient.

FIGURE 4
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FIGURE 4. Challenges of a metaverse in medical application.

Negative impacts of metaverse

All things have dualities, and the metaverse can certainly bring about some serious problems. The real world and the virtual world, or the “metaverse,” coexist with contradictions, which manifest in the competition for human energy and limited time. If the metaverse is not used correctly, it can consume a significant amount of people’s time and energy, causing addiction and an inability to extricate themselves, especially among young people. Currently, the negative reports about the metaverse mainly focus on issues related to excessive use, such as physical and mental health problems caused by overuse, and concerns about information security (Ferguson, 2015; Shensa et al., 2017; Amano et al., 2023; Fang et al., 2023). For instance, excessive use of virtual reality devices may lead to adverse symptoms such as eye fatigue, headaches, and dizziness, while long periods of sitting and lack of exercise can also have negative effects on physical health. The long-term virtual reality experiences in the metaverse may conflict with the demands of the real world, leaving individuals feeling confused, anxious, and unsatisfied in their real lives, which can trigger psychological problems. Moreover, the metaverse contains a vast amount of information, but it also harbors a significant amount of false information and inaccurate content. Users may face information overload and have difficulty distinguishing between truth and falsehood (Dong et al., 2023). The security and privacy of users’ personal information and data may also be at risk (Chow et al., 2022). The realization of the Metaverse is envisioned by many as requiring the use of visualization technologies such as VR and AR. This visual aspect of the Metaverse will undoubtedly give rise to emerging cybersecurity threats that have not received much attention. In clinical applications, the development of high-quality clinical work such as remote diagnosis, treatment, and remote robotic surgery through the metaverse is hindered by the metaverse’s high dependence on the speed and stability of networks. What needs to be noted is that these are potential risks and issues, and their specific impact still depends on the actual operation of the metaverse and individual usage methods. With the ongoing development of 5G technology and stronger regulation, it is hopeful that these adverse impacts can be addressed and mitigated, thus ensuring the health and sustainable development of the metaverse (Marescaux et al., 2002; Moustris et al., 2023).

Conclusion

In this study, we aim to delve into the applications and advantages of the metaverse in the medical and health fields while also exploring its potential negative impacts. The Metaverse is currently being hailed as the next major technological disruption that could have a significant impact on clinician-patient interactions, patient experience, and the processes of innovation and research and development. The revolution of the metaverse is already underway, making it essential for clinicians to embrace it as protagonists in order to guide it in the right direction.

Author contributions

YW: Conceptualization, Writing–original draft, Writing–review and editing. CL: Investigation, Writing–original draft. LQ: Software, Writing–review and editing. HC: Conceptualization, Funding acquisition, Writing–review and editing. YG: Resources, Writing–review and editing.

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.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Albujeer, A., and Khoshnevisan, M. (2022). Metaverse and oral health promotion. Br. Dent. J. 232 (9), 587. doi:10.1038/s41415-022-4255-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Amano, A., Ahmed, G., Nigussie, K., Asfaw, H., Fekadu, G., Hiko, A., et al. (2023). Internet addiction and associated factors among undergraduate students of Jimma University; Jimma, South West Ethiopia, institutional based cross-sectional study. BMC Psychiatry 23 (1), 721. doi:10.1186/s12888-023-05197-7

CrossRef Full Text | Google Scholar

Ayoub, A., and Pulijala, Y. (2019). The application of virtual reality and augmented reality in Oral & Maxillofacial Surgery. BMC Oral Health 19 (1), 238. doi:10.1186/s12903-019-0937-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Bamakan, S. M. H., Nezhadsistani, N., Bodaghi, O., and Qu, Q. (2022). Patents and intellectual property assets as non-fungible tokens; key technologies and challenges. Sci. Rep. 12 (1), 2178. doi:10.1038/s41598-022-05920-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Berber, E., Bernet, V., Fahey, T. J., Kebebew, E., Shaha, A., Stack, B. C., et al. (2016). American thyroid association statement on remote-access thyroid surgery. Thyroid 26 (3), 331–337. doi:10.1089/thy.2015.0407

PubMed Abstract | CrossRef Full Text | Google Scholar

Bruno, R. R., Wolff, G., Wernly, B., Masyuk, M., Piayda, K., Leaver, S., et al. (2022). Virtual and augmented reality in critical care medicine: the patient's, clinician's, and researcher's perspective. Crit. Care 26 (1), 326. doi:10.1186/s13054-022-04202-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Chapman, J. R., Wang, J. C., and Wiechert, K. (2022). Into the spine metaverse: reflections on a future metaspine (Uni-)verse. Glob. Spine J. 12 (4), 545–547. doi:10.1177/21925682221085643

CrossRef Full Text | Google Scholar

Chen, Y., Kwok, K. W., Ge, J., Hu, Y., Fok, M., Nilsson, K. R., et al. (2014). Augmented reality for improving catheterization in magnetic resonance imaging-guided cardiac electrophysiology therapy. J. Med. Devices 8 (2), 020918. doi:10.1115/1.4027017

CrossRef Full Text | Google Scholar

Chow, Y. W., Susilo, W., Li, Y., Li, N., and Nguyen, C. (2022). Visualization and cybersecurity in the metaverse: a survey. J. Imaging 9 (1), 11. doi:10.3390/jimaging9010011

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, A., Murphy, J., Owens, D., Khazanchi, D., and Zigurs, I. (2009). Avatars, people, and virtual worlds: foundations for research in metaverses. J. Assoc. Inf. Syst. 10 (2), 90–117. doi:10.17705/1jais.00183

CrossRef Full Text | Google Scholar

Dong, C., Yao, Y., Xu, Y., Liu, X., Wang, Y., Zhang, H., et al. (2023). A cost-driven method for deep-learning-based hardware trojan detection. Sensors (Basel). 23 (12), 5503. doi:10.3390/s23125503

PubMed Abstract | CrossRef Full Text | Google Scholar

Fang, G., Sun, Y., Almutiq, M., Zhou, W., Zhao, Y., and Ren, Y. (2023). Distributed medical data storage mechanism based on proof of retrievability and vector commitment for metaverse services. IEEE J. Biomed. Health Inf., 1–9. doi:10.1109/jbhi.2023.3272021

CrossRef Full Text | Google Scholar

Ferguson, C. J. (2015). Do angry birds make for angry children? A meta-analysis of video game influences on children's and adolescents' aggression, mental health, prosocial behavior, and academic performance. Perspect. Psychol. Sci. 10 (5), 646–666. doi:10.1177/1745691615592234

PubMed Abstract | CrossRef Full Text | Google Scholar

Gambril, J., Boyd, C., and Egbaria, J. (2022). Application of nonfungible tokens to health care. Comment on “blockchain technology projects to provide telemedical services: systematic review”. J. Med. Internet Res. 24 (5), e34276. doi:10.2196/34276

PubMed Abstract | CrossRef Full Text | Google Scholar

Gupta, A., Scott, K., and Dukewich, M. (2017). Innovative technology using virtual reality in the treatment of pain: does it reduce pain via distraction, or is there more to it? Pain Med. 19 (1), 151–159. doi:10.1093/pm/pnx109

PubMed Abstract | CrossRef Full Text | Google Scholar

Jackson, M. J., Bicknell, C. D., Zervas, V., Cheshire, N. J., Sherwin, S. J., Giordana, S., et al. (2003). Three-dimensional reconstruction of autologous vein bypass graft distal anastomoses imaged with magnetic resonance: clinical and research applications. J. Vasc. Surg. 38 (3), 621–625. doi:10.1016/s0741-5214(03)00604-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Khundam, C., Sukkriang, N., and Noël, F. (2021). No difference in learning outcomes and usability between using controllers and hand tracking during a virtual reality endotracheal intubation training for medical students in Thailand. J. Educ. Eval. Health Prof. 18, 22. doi:10.3352/jeehp.2021.18.22

PubMed Abstract | CrossRef Full Text | Google Scholar

Koo, H. (2021). Training in lung cancer surgery through the metaverse, including extended reality, in the smart operating room of Seoul National University Bundang Hospital, Korea. J. Educ. Eval. Health Prof. 18, 33. doi:10.3352/jeehp.2021.18.33

PubMed Abstract | CrossRef Full Text | Google Scholar

Kurian, N., Cherian, J. M., and Varghese, K. G. (2022). Dentistry in the metaverse. Br. Dent. J. 232 (4), 191. doi:10.1038/s41415-022-4003-6

CrossRef Full Text | Google Scholar

Kye, B., Han, N., Kim, E., Park, Y., and Jo, S. (2021). Educational applications of metaverse: possibilities and limitations. J. Educ. Eval. Health Prof. 18, 32. doi:10.3352/jeehp.2021.18.32

PubMed Abstract | CrossRef Full Text | Google Scholar

Mahmud, N., Cohen, J., Tsourides, K., and Berzin, T. M. (2015). Computer vision and augmented reality in gastrointestinal endoscopy: figure 1. Gastroenterol. Rep. (Oxf) 3 (3), 179–184. doi:10.1093/gastro/gov027

PubMed Abstract | CrossRef Full Text | Google Scholar

Marescaux, J., Leroy, J., Rubino, F., Smith, M., Vix, M., Simone, M., et al. (2002). Transcontinental robot-assisted remote telesurgery: feasibility and potential applications. Ann. Surg. 235 (4), 487–492. doi:10.1097/00000658-200204000-00005

PubMed Abstract | CrossRef Full Text | Google Scholar

Moustris, G., Tzafestas, C., and Konstantinidis, K. (2023). A long distance telesurgical demonstration on robotic surgery phantoms over 5G. Int. J. Comput. Assist. Radiol. Surg. 18 (9), 1577–1587. doi:10.1007/s11548-023-02913-2

PubMed Abstract | CrossRef Full Text | Google Scholar

MS. P (2021). Seoul National University Bundang Hospital, development of AR technology-based spine surgery platform. Etoday. Available at: https://www.koreabiomed.com/news/articleView.html?idxno=10133.

Google Scholar

Petrigna, L., and Musumeci, G. (2022). The metaverse: a new challenge for the healthcare system: a scoping review. J. Funct. Morphol. Kinesiol 7 (3), 63. doi:10.3390/jfmk7030063

PubMed Abstract | CrossRef Full Text | Google Scholar

Sandrone, S. (2022). Medical education in the metaverse. Nat. Med. 28 (12), 2456–2457. doi:10.1038/s41591-022-02038-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Shensa, A., Escobar-Viera, C. G., Sidani, J. E., Bowman, N. D., Marshal, M. P., and Primack, B. A. (2017). Problematic social media use and depressive symptoms among U.S. young adults: a nationally-representative study. Soc. Sci. Med. 182, 150–157. doi:10.1016/j.socscimed.2017.03.061

PubMed Abstract | CrossRef Full Text | Google Scholar

Skalidis, I., Muller, O., and Fournier, S. (2022a). The metaverse in cardiovascular medicine: applications, challenges and the role of non-fungible tokens. Can. J. Cardiol. 38, 1467–1468. doi:10.1016/j.cjca.2022.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Skalidis, I., Muller, O., and Fournier, S. (2022b). CardioVerse: the cardiovascular medicine in the era of Metaverse. Trends Cardiovasc Med. 33, 471–476. doi:10.1016/j.tcm.2022.05.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Smelt, J., Pontiki, A., Jahangiri, M., Rhode, K., Nair, A., and Bille, A. (2020). Three-dimensional printing for chest wall reconstruction in thoracic surgery: building on experience. Thorac. Cardiovasc Surg. 68 (4), 352–356. doi:10.1055/s-0039-1678611

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, Y., Yang, Q., Jiang, H., and Dong, W. (2021). Clinical application of carving template with 3D reconstruction technique for personalized and precise treatment of traumatic ear defects. J. Craniofac Surg. 32 (4), 1423–1426. doi:10.1097/scs.0000000000007166

PubMed Abstract | CrossRef Full Text | Google Scholar

Sparkes, M. (2023). What is a metaverse. New Sci. 251, 18. doi:10.1016/s0262-4079(21)01450-0

CrossRef Full Text | Google Scholar

SPRi (2021). Log in metaverse:human × space × the revolution of time. Available at: https://spri.kr/posts/view/23165.

Google Scholar

Usmani, S. S., Sharath, M., and Mehendale, M. (2022). Future of mental health in the metaverse. Gen. Psychiatr. 35 (4), e100825. doi:10.1136/gpsych-2022-100825

PubMed Abstract | CrossRef Full Text | Google Scholar

Veneziano, D., Tafuri, A., Rivas, J. G., Dourado, A., Okhunov, Z., Somani, B. K., et al. (2020). Is remote live urologic surgery a reality? Evidences from a systematic review of the literature. World J. Urol. 38 (10), 2367–2376. doi:10.1007/s00345-019-02996-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Volonté, F., Buchs, N. C., Pugin, F., Spaltenstein, J., Jung, M., Ratib, O., et al. (2013). Stereoscopic augmented reality for da Vincii™ robotic biliary surgery. Int. J. Surg. Case Rep. 4 (4), 365–367. doi:10.1016/j.ijscr.2013.01.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y., Liu, Y., Shi, Y., Yu, Y., and Yang, J. (2020). User perceptions of virtual hospital apps in China: systematic search. JMIR Mhealth Uhealth 8 (8), e19487. doi:10.2196/19487

PubMed Abstract | CrossRef Full Text | Google Scholar

Werner, H., Ribeiro, G., Arcoverde, V., Lopes, J., and Velho, L. (2022). The use of metaverse in fetal medicine and gynecology. Eur. J. Radiol. 150, 110241. doi:10.1016/j.ejrad.2022.110241

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, J., Xie, K., Luo, D., Wang, L., Wu, W., Yan, M., et al. (2021). Three-dimensional printing-based personalized limb salvage and reconstruction treatment of pelvic tumors. J. Surg. Oncol. 124 (3), 420–430. doi:10.1002/jso.26516

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, T. C., and Ho, C. B. (2022). A scoping review of metaverse in emergency medicine. Australas. Emerg. Care 26, 75–83. doi:10.1016/j.auec.2022.08.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, T. C., and Ho, C. B. (2023). A scoping review of metaverse in emergency medicine. Australas. Emerg. Care 26 (1), 75–83. doi:10.1016/j.auec.2022.08.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, S. X., and Liu, Y. (2016). Computer-based three-dimensional reconstruction of lung cancer using 64-slice CT scanning data and virtual surgery. Nan Fang. Yi Ke Da Xue Xue Bao 36 (4), 562–566. doi:10.3969/j.issn.1673-4254.2016.04.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, Y., Mei, Z., Luo, X., Mao, J., Zhao, Q., Liu, G., et al. (2022). Remote vascular interventional surgery robotics: a literature review. Quant. Imaging Med. Surg. 12 (4), 2552–2574. doi:10.21037/qims-21-792

PubMed Abstract | CrossRef Full Text | Google Scholar

Zheng, J., Wang, Y., Zhang, J., Guo, W., Yang, X., Luo, L., et al. (2020). 5G ultra-remote robot-assisted laparoscopic surgery in China. Surg. Endosc. 34 (11), 5172–5180. doi:10.1007/s00464-020-07823-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: metaverse, medicine, virtual reality, augmented reality, challenge

Citation: Wang Y, Li C, Qu L, Cai H and Ge Y (2023) Application and challenges of a metaverse in medicine. Front. Robot. AI 10:1291199. doi: 10.3389/frobt.2023.1291199

Received: 08 September 2023; Accepted: 27 November 2023;
Published: 11 December 2023.

Edited by:

Yuzhe Wang, Technology and Research (A∗STAR), Singapore

Reviewed by:

Esther Cubo, Burgos University Hospital, Spain
Ioannis Skalidis, Centre Hospitalier Universitaire Vaudois (CHUV), Switzerland
Glorin Sebastian, Georgia Institute of Technology, United States

Copyright © 2023 Wang, Li, Qu, Cai and Ge. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Hongfei Cai, caihongfei@jlu.edu.cn; Yingying Ge, geyingying@ccut.edu.cn

These authors have contributed equally to this work

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