Development of metaverse for intelligent healthcare

被引:0
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作者
Ge Wang
Andreu Badal
Xun Jia
Jonathan S. Maltz
Klaus Mueller
Kyle J. Myers
Chuang Niu
Michael Vannier
Pingkun Yan
Zhou Yu
Rongping Zeng
机构
[1] Department of Biomedical Engineering,Division of Imaging, Diagnostics and Software Reliability, OSEL, CDRH
[2] Rensselaer Polytechnic Institute,Department of Radiation Oncology and Molecular Radiation Sciences
[3] US Food and Drug Administration,Computer Science Department
[4] Johns Hopkins University,undefined
[5] Molecular Imaging and Computed Tomography,undefined
[6] GE Healthcare,undefined
[7] Stony Brook University,undefined
[8] Puente Solutions LLC,undefined
[9] University of Chicago Medical Center,undefined
[10] Canon Medical Research USA,undefined
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摘要
The metaverse integrates physical and virtual realities, enabling humans and their avatars to interact in an environment supported by technologies such as high-speed internet, virtual reality, augmented reality, mixed and extended reality, blockchain, digital twins and artificial intelligence (AI), all enriched by effectively unlimited data. The metaverse recently emerged as social media and entertainment platforms, but extension to healthcare could have a profound impact on clinical practice and human health. As a group of academic, industrial, clinical and regulatory researchers, we identify unique opportunities for metaverse approaches in the healthcare domain. A metaverse of ‘medical technology and AI’ (MeTAI) can facilitate the development, prototyping, evaluation, regulation, translation and refinement of AI-based medical practice, especially medical imaging-guided diagnosis and therapy. Here, we present metaverse use cases, including virtual comparative scanning, raw data sharing, augmented regulatory science and metaversed medical intervention. We discuss relevant issues on the ecosystem of the MeTAI metaverse including privacy, security and disparity. We also identify specific action items for coordinated efforts to build the MeTAI metaverse for improved healthcare quality, accessibility, cost-effectiveness and patient satisfaction.
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页码:922 / 929
页数:7
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