The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Virtual and augmented reality for biomedical applications
Open accessAbstract
3D visualization technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR) have gained popularity in the recent decade. Digital extended reality (XR) technologies have been adopted in various domains ranging from entertainment to education because of their accessibility and affordability. XR modalities create an immersive experience, enabling 3D visualization of the content without a conventional 2D display constraint. Here, we provide a perspective on XR in current biomedical applications and demonstrate case studies using cell biology concepts, multiplexed proteomics images, surgical data for heart operations, and cardiac 3D models. Emerging challenges associated with XR technologies in the context of adverse health effects and a cost comparison of distinct platforms are discussed. The presented XR platforms will be useful for biomedical education, medical training, surgical guidance, and molecular data visualization to enhance trainees' and students' learning, medical operation accuracy, and the comprehensibility of complex biological systems.
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Cites
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Cited by
Development of metaverse for intelligent healthcare
Wang, G., Badal, A., Jia, X., Maltz, J. S., Mueller, K., Myers, K. J., Niu, C., Vannier, M., Yan, P., Yu, Z., et al. (2022) · Nature Machine Intelligence · doi:10.1038/s42256-022-00549-6 · Cited by 423
Integrating ChatGPT in Orthopedic Education for Medical Undergraduates: Randomized Controlled Trial
Gan, W., Ouyang, J., Li, H., Xue, Z., Zhang, Y., Dong, Q., Huang, J., Zheng, X., & Zhang, Y. (2024) · Journal of Medical Internet Research · doi:10.2196/57037 · Cited by 73
“With the evolution of teaching concepts and learning aids, medical education model has undergone significant transformations over time [40,41].”
Wang, J., Li, W., Dun, A., Zhong, N., & Ye, Z. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05403-4 · Cited by 46
Zielke, M. A., Zakhidov, D., Lo, T., Craig, S. D., Rege, R., Pyle, H., Meer, N. V., & Kuo, N. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2323280 · Cited by 15
Metadata
- Authors
- Venkatesan, M., Mohan, H., Ryan, J. R., Schürch, C. M., Nolan, G. P., Frakes, D. H., & Coskun, A. F.
- Venue
- Cell Reports Medicine
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 2
- Issue
- 7
- Pages
- 100348
- ISSN
- 2666-3791 (ISSN-L)
- OpenAlex
- W3185652689
- Cited by
- 331
- References
- 49
- FWCI
- 19.75
- Type
- journal article
- Language
- en
- Open access
- gold
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- Venkatesan, M., Mohan, H., Ryan, J. R., Schürch, C. M., Nolan, G. P., Frakes, D. H., & Coskun, A. F. (2021). Virtual and augmented reality for biomedical applications. Cell Reports Medicine. https://doi.org/10.1016/j.xcrm.2021.100348
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
