Digital twins for health: a scoping review
Abstract The use of digital twins (DTs) has proliferated across various fields and industries, with a recent surge in the healthcare sector. The concept of digital twin for health (DT4H) holds great promise to revolutionize the entire healthcare system, including management and delivery, disease tre...
Main Authors: | , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2024-03-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-024-01073-0 |
_version_ | 1797247021515538432 |
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author | Evangelia Katsoulakis Qi Wang Huanmei Wu Leili Shahriyari Richard Fletcher Jinwei Liu Luke Achenie Hongfang Liu Pamela Jackson Ying Xiao Tanveer Syeda-Mahmood Richard Tuli Jun Deng |
author_facet | Evangelia Katsoulakis Qi Wang Huanmei Wu Leili Shahriyari Richard Fletcher Jinwei Liu Luke Achenie Hongfang Liu Pamela Jackson Ying Xiao Tanveer Syeda-Mahmood Richard Tuli Jun Deng |
author_sort | Evangelia Katsoulakis |
collection | DOAJ |
description | Abstract The use of digital twins (DTs) has proliferated across various fields and industries, with a recent surge in the healthcare sector. The concept of digital twin for health (DT4H) holds great promise to revolutionize the entire healthcare system, including management and delivery, disease treatment and prevention, and health well-being maintenance, ultimately improving human life. The rapid growth of big data and continuous advancement in data science (DS) and artificial intelligence (AI) have the potential to significantly expedite DT research and development by providing scientific expertise, essential data, and robust cybertechnology infrastructure. Although various DT initiatives have been underway in the industry, government, and military, DT4H is still in its early stages. This paper presents an overview of the current applications of DTs in healthcare, examines consortium research centers and their limitations, and surveys the current landscape of emerging research and development opportunities in healthcare. We envision the emergence of a collaborative global effort among stakeholders to enhance healthcare and improve the quality of life for millions of individuals worldwide through pioneering research and development in the realm of DT technology. |
first_indexed | 2024-04-24T19:52:04Z |
format | Article |
id | doaj.art-be02e61ec4444074b1b62f58a6f214a8 |
institution | Directory Open Access Journal |
issn | 2398-6352 |
language | English |
last_indexed | 2024-04-24T19:52:04Z |
publishDate | 2024-03-01 |
publisher | Nature Portfolio |
record_format | Article |
series | npj Digital Medicine |
spelling | doaj.art-be02e61ec4444074b1b62f58a6f214a82024-03-24T12:34:42ZengNature Portfolionpj Digital Medicine2398-63522024-03-017111110.1038/s41746-024-01073-0Digital twins for health: a scoping reviewEvangelia Katsoulakis0Qi Wang1Huanmei Wu2Leili Shahriyari3Richard Fletcher4Jinwei Liu5Luke Achenie6Hongfang Liu7Pamela Jackson8Ying Xiao9Tanveer Syeda-Mahmood10Richard Tuli11Jun Deng12VA Informatics and Computing InfrastructureDepartment of Mathematics, University of South CarolinaDepartment of Health Services Administration and Policy, Temple UniversityDepartment of Mathematics and Statistics, University of Massachusetts AmherstDepartment of Mechanical Engineering, Massachusetts Institute of TechnologyDepartment of Computer and Information Sciences, Florida A&M UniversityDepartment of Chemical Engineering, Virginia Polytechnic Institute and State UniversityMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at HoustonPrecision Neurotherapeutics Innovation Program & Department of Neurosurgery, Mayo ClinicDepartment of Radiation Oncology, University of PennsylvaniaIBM Almaden Research CenterDepartment of Radiation Oncology, University of South FloridaDepartment of Therapeutic Radiology, Yale UniversityAbstract The use of digital twins (DTs) has proliferated across various fields and industries, with a recent surge in the healthcare sector. The concept of digital twin for health (DT4H) holds great promise to revolutionize the entire healthcare system, including management and delivery, disease treatment and prevention, and health well-being maintenance, ultimately improving human life. The rapid growth of big data and continuous advancement in data science (DS) and artificial intelligence (AI) have the potential to significantly expedite DT research and development by providing scientific expertise, essential data, and robust cybertechnology infrastructure. Although various DT initiatives have been underway in the industry, government, and military, DT4H is still in its early stages. This paper presents an overview of the current applications of DTs in healthcare, examines consortium research centers and their limitations, and surveys the current landscape of emerging research and development opportunities in healthcare. We envision the emergence of a collaborative global effort among stakeholders to enhance healthcare and improve the quality of life for millions of individuals worldwide through pioneering research and development in the realm of DT technology.https://doi.org/10.1038/s41746-024-01073-0 |
spellingShingle | Evangelia Katsoulakis Qi Wang Huanmei Wu Leili Shahriyari Richard Fletcher Jinwei Liu Luke Achenie Hongfang Liu Pamela Jackson Ying Xiao Tanveer Syeda-Mahmood Richard Tuli Jun Deng Digital twins for health: a scoping review npj Digital Medicine |
title | Digital twins for health: a scoping review |
title_full | Digital twins for health: a scoping review |
title_fullStr | Digital twins for health: a scoping review |
title_full_unstemmed | Digital twins for health: a scoping review |
title_short | Digital twins for health: a scoping review |
title_sort | digital twins for health a scoping review |
url | https://doi.org/10.1038/s41746-024-01073-0 |
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