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References
Sun T, He X, Li Z (2023) Digital twin in healthcare: Recent updates and challenges. Digital Health. https://doi.org/10.1177/20552076221149651
Acosta JN, Falcone GJ, Rajpurkar P, Topol EJ (2022) Multimodal biomedical AI. Nat Med 28:1773–1784. https://doi.org/10.1038/s41591-022-01981-2
Sun T, He X, Song X et al (2022) The digital twin in medicine: a key to the future of healthcare? Front Med. https://doi.org/10.3389/fmed.2022.907066
Corral-Acero J, Margara F, Marciniak M et al (2020) The “Digital Twin” to enable the vision of precision cardiology. Eur Heart J 41:4556–4564. https://doi.org/10.1093/eurheartj/ehaa159
Jung A, Gsell MAF, Augustin CM, Plank G (2022) An integrated workflow for building digital twins of cardiac electromechanics-a multi-fidelity approach for personalising active mechanics. Mathematics (Basel) 10:823. https://doi.org/10.3390/math10050823
Chakshu NK, Sazonov I, Nithiarasu P (2021) Towards enabling a cardiovascular digital twin for human systemic circulation using inverse analysis. Biomech Model Mechanobiol 20:449–465. https://doi.org/10.1007/s10237-020-01393-6
de Lepper AGW, Buck CMA, van ’t Veer M et al (2022) From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy. J R Soc Interface 19:20220317. https://doi.org/10.1098/rsif.2022.0317
Lloyd DG, Saxby DJ, Pizzolato C et al (2023) Maintaining soldier musculoskeletal health using personalised digital humans, wearables and/or computer vision. J Sci Med Sport 26:S30–S39. https://doi.org/10.1016/j.jsams.2023.04.001
European Commission Funding & tender opportunities. https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-hlth-2023-tool-05-03;callCode=null;freeTextSearchKeyword=;matchWholeText=true;typeCodes=1,2,8;statusCodes=31094501;programmePeriod=2021%20-%202027;programCcm2Id=43108390;programDivisionCode=null;focusAreaCode=null;destinationGroup=null;missionGroup=null;geographicalZonesCode=null;programmeDivisionProspect=null;startDateLte=null;startDateGte=null;crossCuttingPriorityCode=null;cpvCode=null;performanceOfDelivery=null;sortQuery=startDate;onlyTenders=false;topicListKey=topicSearchTablePageState. Accessed on 11 March 2024
D3 4 Health website. https://sites.google.com/uniroma1.it/d3forhealth/home. Accessed on February 18
Hernandez-Boussard T, Macklin P, Greenspan EJ et al (2021) Digital twins for predictive oncology will be a paradigm shift for precision cancer care. Nat Med 27:2065–2066. https://doi.org/10.1038/s41591-021-01558-5
Acknowledgements
The commentary has been supported by the Project PNC 0000001 D3 4 Health, - CUP B53C22006120001, The National Plan for Complementary Investments to the NRRP, Funded by the European Union - NextGenerationEU.
Funding
The commentary has been supported by the Project PNC 0000001 D3 4 Health, - CUP B53C22006120001, The National Plan for Complementary Investments to the NRRP, Funded by the European Union - NextGenerationEU.
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Prof. Valeria Panebianco is member of the European Radiology Scientific Editorial Board. She has not taken part in the review or selection process of this article. The author of this manuscript declares no relationships with any companies, whose products or services may be related to the subject matter of the article.
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Panebianco, V., Pecoraro, M., Novelli, S. et al. Bridging the gap between human beings and digital twins in radiology. Eur Radiol (2024). https://doi.org/10.1007/s00330-024-10766-9
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DOI: https://doi.org/10.1007/s00330-024-10766-9