2026-03-12 15:37 |
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2026-03-12 15:08 |
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2026-03-12 15:05 |
[DKFZ-2026-00582]
Journal Article
Arzideh, K. ; Hosch, R. ; Turki, A. ; et al
Automated Tumor International Classification of Diseases Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models.
Manual coding of pathology reports with International Classification of Diseases for Oncology (ICD-O)-3 codes is time-consuming, error-prone, and resource-intensive for health care institutions. To evaluate the performance of multiple state-of-the-art large language models (LLMs) in extracting ICD-O-3 topography and morphology codes from real-world pathology reports and assess their potential for clinical implementation, this study compares the performance of state-of-the-art open-source models in multiple evaluation setups.We analyzed 21,364 pathology reports from 10,823 patients documented between 2013 and 2025 at a large German hospital. [...]
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2026-03-12 14:33 |
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2026-03-12 14:29 |
[DKFZ-2026-00579]
Journal Article
Su, Y. ; Deng, K. ; Chen, X. ; et al
An interpretable machine learning model for predicting prognosis of medulloblastoma integrating genetic and clinical features.
Medulloblastoma (MB), the most common malignant pediatric brain tumor, lacks prognostic tools integrating clinical, molecular, and treatment-related characteristics for individualized management.We developed machine learning models using multicenter data from 729 Chinese patients (2001-2023), of whom 509 were assigned to the training set and 220 to the testing set, and further validated the models on 201 patients from international MB consortia. To accommodate patients and researchers with varying datatypes, four application scenarios were established, including clinical-molecular-radiotherapy (CMR), clinical-molecular (CM), clinical-radiotherapy (CR), and clinical-only (CO).We construct four model scenarios and assess their predictive performance in the testing set: an XGBoost-based CMR model (incorporating 11 features, including molecular subgroup, radiotherapy dose, and key gene expression) with a C-index of 0.612; an XGBoost-based CM (C-index = 0.609); a GBM-based CR (C-index = 0.637); and a GBM-based CO (C-index = 0.635). [...]
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2026-03-12 14:26 |
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2026-03-12 14:23 |
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2026-03-12 14:19 |
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2026-03-12 14:17 |
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