Digital Twin

A digital twin in radiology is a dynamic virtual model of a patient, device, or system that uses real-world data to support simulation, prediction, and personalized care.

Digital Humans Could Bring More Clinical Realism Into Simulation

Medical simulation is getting better at reproducing scanners. The next challenge is reproducing the patient.

From Scan to Simulation: Applications of Digital Twins

From coronary physiology modeling to adaptive oncology, imaging-driven digital twins are moving into routine clinical workflows.

Exemplary Applications of Digital Twin Technology in Radiology

How digital twins are being applied across imaging practice, from virtual patient simulations to workflow decision support.

5 Key Benefits of Digital Twins for Imaging Departments

From predictive maintenance to smarter workflows – how virtual models are improving radiology operations.

The Digital Twin Revolution in Radiology and Radiation Oncology

Experts from Emory University discuss how digital twin technology is transforming imaging precision, adaptive therapy, and the future of personalized care

Digital Twins in Radiology: Your Key Questions Answered

Learn what digital twins mean for CT and MRI – from workflow optimization to ROI – in this industry-focused radiology FAQ.