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Stable answers help medical AI flag diagnoses clinicians can trust
AI agents could reliably support diagnoses and clinical decision-making in the future—provided sensitive health data are protected and clinicians can assess the reliability of individual AI-generated results.
AI Summary
Researchers at the Else Kröner Fresenius Center for Digital Health at TU Dresden and Dresden University Hospital have created an on‑premises medical AI system that can reliably support diagnoses and clinical decision‑making. The system is designed to protect sensitive health data while giving clinicians a way to assess the reliability of each AI‑generated result. Their work, which addresses both data security and result transparency, has been published in the journal *Nature Medicine*.
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