Medical digital twins: enabling precision medicine and medical artificial intelligence
Stanford Medicine · Beth Israel Deaconess Medical Center · +7 more institutions
Abstract
The notion of medical digital twins is gaining popularity both within the scientific community and among the general public; however, much of the recent enthusiasm has occurred in the absence of a consensus on their fundamental make-up. Digital twins originate in the field of engineering, in which a constantly updating virtual copy enables analysis, simulation, and prediction of a real-world object or process. In this Health Policy paper, we evaluate this concept in the context of medicine and outline five key components of the medical digital twin: the patient, data connection, patient-in-silico, interface, and twin synchronisation. We consider how various enabling technologies in multimodal data, artificial…
Citation impact
- FWCI
- 32.26
- Percentile
- 100%
- References
- 70
Authors
13Topics & keywords
- Precision medicine
- Artificial intelligence
- Computer science
- Medicine
- Pathology