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B. Wiestler

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Open access Aug 2026

The Prognostic Value of Paramagnetic Rim Lesions in People With Multiple Sclerosis

Background and Objectives Paramagnetic rim lesions (PRLs) have been established as a radiologic surrogate for chronic active inflammation in multiple sclerosis (MS). Although associations between PRLs and disability have been observed, data on their prognostic value for long-term risk of clinical worsening, especially...

M. Lauerer, Cuici Voon, Julian McGinnis et al. · 0 citations

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. · 0 citations
#generative ai Editorial Sep 2026

Human-AI Collaboration in Radiology: The Blind Spots.

A narrative synthesis of the human-AI interaction and radiology AI literature highlighted three underrecognized determinants of successful human-AI collaboration in radiology, and concrete research directions are proposed to bridge the gap between algorithmic capabilities and clinical utility.

Su Hwan Kim, L. Adams, B. Wiestler et al. · 0 citations
Open access Jul 2026

Addressing benchmarking gaps in large language models for health and medicine with dynamic red-teaming

A Dynamic, Automatic and Systematic red-teaming audit framework that continuously stress-tests LLMs for health across four safety-critical axes: robustness, privacy, bias and hallucination, which provides a scalable framework for surfacing latent risks before such systems are deployed in consumer-facing health assistan...

Jiazhen Pan, Bailiang Jian, Paul Hager et al. · 0 citations

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