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...

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Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-024-01073-0
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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.
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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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