Digital Twin Patients in Hospitals: Infrastructure Requirements

Hospital digital twin patient system showing real-time data streams feeding a virtual patient model

Digital twin patients—virtual, continuously updated computational models of individual patients—are moving from research pilots into early clinical deployments. By integrating real-time physiological data, historical medical records, imaging, and predictive models, digital twins promise more proactive and personalized care. However, the technical and operational infrastructure required to support clinical-grade digital twins is substantial. Hospitals cannot simply … Read more

AI Radiology Models vs Human Specialists: 2025 Clinical Data Review

AI radiology system assisting human radiologist reviewing medical scans on workstation

AI in radiology has moved well beyond experimental pilots. By 2025, multiple FDA-cleared and CE-marked systems are embedded in clinical workflows, particularly in high-volume imaging domains such as chest X-ray, mammography, and CT triage. The central question is no longer whether AI can match radiologists in narrow tasks, but how the human-AI system performs under … Read more