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Digital twin in healthcare: Recent updates and challenges
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 object...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830576/ https://www.ncbi.nlm.nih.gov/pubmed/36636729 http://dx.doi.org/10.1177/20552076221149651 |
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author | Sun, Tianze He, Xiwang Li, Zhonghai |
author_facet | Sun, Tianze He, Xiwang Li, Zhonghai |
author_sort | Sun, Tianze |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9830576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-98305762023-01-11 Digital twin in healthcare: Recent updates and challenges Sun, Tianze He, Xiwang Li, Zhonghai Digit Health Review Article 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. SAGE Publications 2023-01-03 /pmc/articles/PMC9830576/ /pubmed/36636729 http://dx.doi.org/10.1177/20552076221149651 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Review Article Sun, Tianze He, Xiwang Li, Zhonghai Digital twin in healthcare: Recent updates and challenges |
title | Digital twin in healthcare: Recent updates and challenges |
title_full | Digital twin in healthcare: Recent updates and challenges |
title_fullStr | Digital twin in healthcare: Recent updates and challenges |
title_full_unstemmed | Digital twin in healthcare: Recent updates and challenges |
title_short | Digital twin in healthcare: Recent updates and challenges |
title_sort | digital twin in healthcare: recent updates and challenges |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830576/ https://www.ncbi.nlm.nih.gov/pubmed/36636729 http://dx.doi.org/10.1177/20552076221149651 |
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