Author

Dyke Ferber

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Review Open access Sep 2026

On-premise medical AI agents for reliable clinical decision-making.

A fully on-premise clinical agent that couples local operational control with a multi-perspective reliability framework to support selective autonomy is developed and evaluated, supporting a practical framework for institutionally governed clinical agents.

Li Zhang, G. Wölflein, Dyke Ferber et al. · Nature Medicine · 2 citations

Jul 2026

Bayesian uncertainty estimation improves clinical decision making in medical AI agents

It is shown that Monte Carlo dropout, applied to a multi-task chest-radiograph classifier, provides an epistemic uncertainty signal that tracks generalisation across training-set scales and flags confident yet error-prone predictions.

Frederik Hauke, P. Wienholt, Christiane Kuhl et al. · arXiv.org · 0 citations

Review Aug 2026

Safety and security of large language models in healthcare

The Review examines rapid LLM adoption in clinical care, outlining emerging security and safety risks across development stages, key protective layers, clinically relevant threats and current mitigation responsibilities in a single integrated framework.

J. Clusmann, O. Freyer, Max Ostermann et al. · Nature · 1 citation