Radiomics‑based machine learning model for predicting secondary decompressive craniectomy (DC) (IMAGE)
Caption
Researchers develop radiomics-based predictive models to assess the likelihood of progressively refractory intracranial hypertension leading to secondary DC. The multiomic model, which incorporated demographic, clinical, and radiomic features, showed improved predictive performance, demonstrating the potential of imaging biomarkers to forecast secondary DC risk.
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Dr. Zhongyi Sun from Central South University, China
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