In npj digital medicine, Nova Scholar Claudia Witt and coauthors describe the impact of Artificial Intelligence (AI) on health care, particularly via digital twins.
Researchers explored how AI could shape the future of healthcare, focusing on “digital twins” — highly detailed virtual replicas of patients that use real-time health data to predict, prevent, and treat illness. Through expert workshops, patient focus groups, and a Swiss national survey, they found strong public interest in digital twins (62%), but opposition to making them mandatory (87%). Most respondents (75%) believe the government should ensure the technology’s infrastructure. Digital twins could work across prevention, diagnosis, prognosis, and therapy, supporting both doctors and patients. While the technology to fully realize them is still in development, early versions already exist for cells, organs, and complex biological systems, suggesting a path toward highly personalized, data-driven healthcare.





