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Clinician reviewing a digital twin model created from medical imaging, laboratory results, wearable data and patient records

Artificial Intelligence

Digital Twins in Healthcare: How Virtual Patient Models Work, Uses, Benefits and Risks in 2026

Digital twins are patient-specific computational models that can be updated with real health data and used to simulate possible future outcomes. This guide explains how healthcare digital twins work, where they are being studied, current evidence in diabetes, cardiology, oncology and clinical trials, and the limitations, privacy risks and regulatory questions clinicians and patients should understand.

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AI-enabled medical devices used for imaging, cardiovascular analysis and clinical decision support

Artificial Intelligence

FDA AI-Enabled Medical Devices: 2026 List, Uses and Regulation

The FDA maintains a growing list of artificial intelligence-enabled medical devices authorized for marketing in the United States. This guide explains what the FDA list means, the difference between clearance, authorization and approval, selected 2026 devices, major clinical uses and how AI medical-device regulation is evolving.

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