Author

Rickmer Braren

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#natural language process... Review Mar 2026

Calibrated Confidence Expression for Radiology Report Generation

ConRad (Confidence Calibration for Radiology Reports), a reinforcement learning framework for fine-tuning medical LVLMs to produce calibrated verbalized confidence estimates alongside radiology reports, is introduced and substantially improves calibration and outperforms competing methods.

D. Bani-Harouni, Chantal Pellegrini, Julian Lüers et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Sep 2026

NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting

Noah is a time-aware, task-agnostic, generative transformer model representing and forecasting the full multimodal patient journey, and is the first truly holistic generative model in its field, enabling autoregressive forecasting with optional time control, zero-shot classification, and counterfactual intervention sim...

Tobias Susetzky, R. Rehms, Dmitrii Seletkov et al. · 0 citations