Author

P. Wienholt

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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

Jul 2026

Foundation-model-guided radiogenomic discovery linking cancer genomes to cancer scans

It is demonstrated that pairing a genomic language model with widely available clinical imaging can serve as a hypothesis-free discovery tool for gene--imaging associations invisible to conventional approaches.

Frederik Hauke, Jeremias Krause, P. Wienholt et al. · arXiv.org · 0 citations