Cardiovascular care with digital twin technology in the era of generative artificial intelligence
Yale University · Amsterdam University Medical Centers · +5 more institutions
Abstract
Digital twins, which are in silico replications of an individual and its environment, have advanced clinical decision-making and prognostication in cardiovascular medicine. The technology enables personalized simulations of clinical scenarios, prediction of disease risk, and strategies for clinical trial augmentation. Current applications of cardiovascular digital twins have integrated multi-modal data into mechanistic and statistical models to build physiologically accurate cardiac replicas to enhance disease phenotyping, enrich diagnostic workflows, and optimize procedural planning. Digital twin technology is rapidly evolving in the setting of newly available data modalities and advances in generative…
Citation impact
- FWCI
- 11.71
- Percentile
- 100%
- References
- 141
Authors
5- PTPhyllis ThangarajCorresponding
Yale University
- SBS. Benson
Amsterdam University Medical Centers, University of Amsterdam
- EKEvangelos K. Oikonomou
Yale University
- FWFolkert W. Asselbergs
Royal London Hospital, National Institute for Health and Care Research, Amsterdam University Medical Centers, University College London, University of Amsterdam
- RKRohan Khera
Yale New Haven Hospital, Yale University
Topics & keywords
- Medicine
- Artificial intelligence
- Modalities
- Personalized medicine
- Precision medicine
- Data science
- Generative grammar
- Digital health
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