Author

A. Sprinkart

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Open access Jul 2026

Locally deployed large language model for real‐world lecanemab eligibility pre‐screening

The introduction of disease‐modifying Alzheimer's therapies requires complex, labor‐intensive patient screening. Cloud‐based large language models (LLMs) could support this task but are often unsuitable for routine care due to data protection constraints.

Carolin Miklitz, Maya Shrestha, Wegner Philipp et al. · Alzheimer's & Dementia · 0 citations

Aug 2026

Optimizing Photon-counting CT for Congenital Heart Disease: The Value of Ultrasharp Kernels in Neonates and Infants.

KS and IR selection significantly affected image quality in pediatric cardiac photon-counting detector CT, with ultrasharp reconstruction providing the best quantitative and visual image quality for evaluation of complex coronary and structural heart anomalies.

B. Salam, A. Sprinkart, C. Hart et al. · Radiology: Cardiothoracic Im... · 0 citations

Open access Jul 2026

Deep learning-based detection of acute pancreatitis on abdominal contrast-enhanced CT

DL enabled accurate CECT-based identification of AP in this retrospective multicenter cohort, with performance maintained in an independent external dataset, and showed promising performance for CECT-based acute pancreatitis detection.

Oleksandra Seidel, M. Theis, Sebastian Nowak et al. · European Radiology Experimen... · 0 citations