Author

M. Makowski

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Open access Sep 2026

Large Language Models for Ankle Fracture Classification and Management Prediction from Routine Clinical Documentation: A Single-Center Exploratory Study.

Ankle fractures are among the most common injuries in trauma surgery and require accurate classification, consistent documentation, and individualized management. Large language models (LLMs) offer the potential to translate unstructured clinical text reports into structured, management-related information, yet their r...

Benjamin Schwarberg, C. Ketzer, B. Thiel et al. · Journal of imaging informati... · 0 citations

Preprint Jul 2026

RadPRISM: Schema-stratified radiology-report supervision for concept-disentangled image representations and visual grounding

Vision-language pretraining learns rich medical image representations from radiology reports, but previous model variants commonly operate within a single shared embedding space, so concept-level structure and interpretability must be recovered post hoc, limiting model transparency and, hence, clinical utility. We intr...

Fabian Drexel, Marlene Fritzsche, Era Stambollxhiu et al. · 0 citations

Jul 2026

Information-seeking failures of large language models in agentic clinical reasoning

Large language models achieve high scores on medical knowledge assessments, yet clinical reasoning requires actively deciding what to investigate under uncertainty. We developed an agentic evaluation framework in hematologic oncology in which models must proactively request clinical data across three sequential rounds...

K. Braitsch, L. Schmalbrock, Theresa Weltermann et al. · arXiv.org · 1 citation