3 papers
Random Window Augmentations for Deep Learning Robustness in CT and Liver Tumor Segmentation
Eirik A. Ãstmo, Kristoffer K. Wickstrøm, Keyur Radiya +3
Contrast-enhanced Computed Tomography (CT) is important for diagnosis and treatment planning for various medical conditions. Deep learning (DL) based segmentation models may enable…
Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish
Ashenafi Zebene Woldaregay, Jørgen Aarmo Lund, Phuong Dinh Ngo +8
Background: Clinical natural language processing (NLP) refers to the use of computational methods for extracting, processing, and analyzing unstructured clinical text data, and hol…
Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial
Taridzo Chomutare, Therese Olsen Svenning, Miguel Ãngel Tejedor Hernández +8
\textbf{Trial design} Crossover randomized controlled trial. \textbf{Methods} An AI tool, Easy-ICD, was developed to assist clinical coders and was tested for improving both accura…