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. Researchers at the Else Kröner Fresenius Center (EKFZ) for Digital Health at TU Dresden and Dresden University Hospital have developed an on-premises medical AI system that addresses both challenges. Their findings have been published in the journal Nature Medicine.
Multimodal medical artificial intelligence (AI) that operates reliably even when patient risk must be assessed in clinical settings without sufficient test results or clinical records is a domestic research.