Print Email Facebook Twitter Dynamic Digital Twin Title Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course Author Mulder, S.T. (TU Delft Pattern Recognition and Bioinformatics) Omidvari, Amir-Houshang (Erasmus MC) Rueten-Budde, A.J. (Erasmus MC) Hai, R. (TU Delft Web Information Systems) Akgün, O.C. (TU Delft Bio-Electronics) Tax, D.M.J. (TU Delft Pattern Recognition and Bioinformatics) Reinders, M.J.T. (TU Delft Pattern Recognition and Bioinformatics) Reinders, Marcel (TU Delft Pattern Recognition and Bioinformatics) Visch, V.T. (TU Delft Design Aesthetics) Date 2022 Abstract A digital twin (DT), originally defined as a virtual representation of a physical asset, system, or process, is a new concept in health care. A DT in health care is not a single technology but a domain-adapted multimodal modeling approach incorporating the acquisition, management, analysis, prediction, and interpretation of data, aiming to improve medical decision-making. However, there are many challenges and barriers that must be overcome before a DT can be used in health care. In this viewpoint paper, we build on the current literature, address these challenges, and describe a dynamic DT in health care for optimizing individual patient health care journeys, specifically for women at risk for cardiovascular complications in the preconception and pregnancy periods and across the life course. We describe how we can commit multiple domains to developing this DT. With our cross-domain definition of the DT, we aim to define future goals, trade-offs, and methods that will guide the development of the dynamic DT and implementation strategies in health care. Subject artifical intelligencecardiovasculardigital healthdigital twindiseasehealthmachine learningobstetrics To reference this document use: http://resolver.tudelft.nl/uuid:e70bf304-fbd9-4af2-9609-2af45a4b71e9 DOI https://doi.org/10.2196/35675 ISSN 1438-8871 Source Journal of Medical Internet Research, 24 (9) Part of collection Institutional Repository Document type journal article Rights © 2022 S.T. Mulder, Amir-Houshang Omidvari, A.J. Rueten-Budde, R. Hai, O.C. Akgün, D.M.J. Tax, M.J.T. Reinders, Marcel Reinders, V.T. Visch, More Authors Files PDF PDF.pdf 966.15 KB Close viewer /islandora/object/uuid:e70bf304-fbd9-4af2-9609-2af45a4b71e9/datastream/OBJ/view