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医疗保健中的数字孪生:最新进展与挑战

Digital twin in healthcare: Recent updates and challenges.

作者信息

Sun Tianze, He Xiwang, Li Zhonghai

机构信息

Department of Orthopedics, First Affiliated Hospital of Dalian Medical University, Dalian, People's Republic of China.

Key Laboratory of Molecular Mechanism for Repair and Remodeling of Orthopedic Diseases, Dalian, People's Republic of China.

出版信息

Digit Health. 2023 Jan 3;9:20552076221149651. doi: 10.1177/20552076221149651. eCollection 2023 Jan-Dec.

DOI:10.1177/20552076221149651
PMID:36636729
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9830576/
Abstract

As simulation is playing an increasingly important role in medicine, providing the individual patient with a customised diagnosis and treatment is envisaged as part of future precision medicine. Such customisation will become possible through the emergence of digital twin (DT) technology. The objective of this article is to review the progress of prominent research on DT technology in medicine and discuss the potential applications and future opportunities as well as several challenges remaining in digital healthcare. A review of the literature was conducted using PubMed, Web of Science, Google Scholar, Scopus and related bibliographic resources, in which the following terms and their derivatives were considered during the search: DT, medicine and digital health virtual healthcare. Finally, analyses of the literature yielded 465 pertinent articles, of which we selected 22 for detailed review. We summarised the application examples of DT in medicine and analysed the applications in many fields of medicine. It revealed encouraging results that DT is being increasing applied in medicine. Results from this literature review indicated that DT healthcare, as a key fusion approach of future medicine, will bring the advantages of precision diagnose and personalised treatment into reality.

摘要

随着模拟在医学中发挥着越来越重要的作用,为个体患者提供定制化的诊断和治疗被设想为未来精准医学的一部分。通过数字孪生(DT)技术的出现,这种定制化将成为可能。本文的目的是回顾DT技术在医学领域的突出研究进展,讨论其潜在应用、未来机遇以及数字医疗中仍然存在的一些挑战。我们使用PubMed、科学网、谷歌学术、Scopus和相关文献资源进行了文献综述,在搜索过程中考虑了以下术语及其衍生词:DT、医学和数字健康虚拟医疗。最后,对文献的分析产生了465篇相关文章,我们从中选择了22篇进行详细综述。我们总结了DT在医学中的应用实例,并分析了其在医学多个领域的应用。结果显示DT在医学中的应用越来越多,令人鼓舞。这篇文献综述的结果表明,DT医疗作为未来医学的关键融合方法,将使精准诊断和个性化治疗的优势成为现实。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/428b/9830576/8314eedef9bd/10.1177_20552076221149651-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/428b/9830576/720e41c4b772/10.1177_20552076221149651-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/428b/9830576/4a9c70070054/10.1177_20552076221149651-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/428b/9830576/8314eedef9bd/10.1177_20552076221149651-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/428b/9830576/720e41c4b772/10.1177_20552076221149651-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/428b/9830576/4a9c70070054/10.1177_20552076221149651-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/428b/9830576/8314eedef9bd/10.1177_20552076221149651-fig3.jpg

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