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Digital twins for health: a scoping review.
Katsoulakis, Evangelia; Wang, Qi; Wu, Huanmei; Shahriyari, Leili; Fletcher, Richard; Liu, Jinwei; Achenie, Luke; Liu, Hongfang; Jackson, Pamela; Xiao, Ying; Syeda-Mahmood, Tanveer; Tuli, Richard; Deng, Jun.
Afiliação
  • Katsoulakis E; VA Informatics and Computing Infrastructure, Salt Lake City, UT, 84148, USA.
  • Wang Q; Department of Radiation Oncology, University of South Florida, Tampa, FL, 33606, USA.
  • Wu H; Department of Mathematics, University of South Carolina, Columbia, SC, 29208, USA.
  • Shahriyari L; Department of Health Services Administration and Policy, Temple University, Philadelphia, PA, 19122, USA.
  • Fletcher R; Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, MA, 01003, USA.
  • Liu J; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Achenie L; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, 02139, USA.
  • Liu H; Department of Computer and Information Sciences, Florida A&M University, Tallahassee, FL, 32307, USA.
  • Jackson P; Department of Chemical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24060, USA.
  • Xiao Y; McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
  • Syeda-Mahmood T; Precision Neurotherapeutics Innovation Program & Department of Neurosurgery, Mayo Clinic, Phoenix, AZ, 85003, USA.
  • Tuli R; Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Deng J; IBM Almaden Research Center, San Jose, CA, 95120, USA.
NPJ Digit Med ; 7(1): 77, 2024 Mar 22.
Article em En | MEDLINE | ID: mdl-38519626
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article