Deep Learning Map of Tumor Habitats Predicts Laryngeal Cancer Metastasis
A deep learning framework that decodes spatial intratumor heterogeneity from preoperative computed tomography scans predicts cervical lymph node metastasis and ...
A deep learning framework that decodes spatial intratumor heterogeneity from preoperative computed tomography scans predicts cervical lymph node metastasis and ...
A retrospective cohort study developed an interpretable random forest model using eight early clinical biomarkers to accurately predict severe influenza ...
A retrospective dual-center study demonstrates that a nomogram integrating dynamic multiphase spectral CT parameters accurately predicts extramural venous invasion preoperatively ...
A retrospective two-center study demonstrates that a LightGBM machine learning model accurately predicts late recurrent intussusception in children following successful ...
A study of 1,186 retroperitoneal liposarcoma patients found that ten-year survival probability rose from 41 percent at diagnosis to 87 ...
A methodological commentary proposes five refinements to the targeted test evaluation framework to improve statistical flexibility and hypothesis testing in ...
Researchers developed and temporally validated a preoperative nomogram combining body roundness index, pericholecystic fluid, and fibrinogen to predict difficult laparoscopic ...
Researchers developed and internally validated an interpretable machine learning model predicting incident cardiovascular disease among adult cancer survivors following systemic ...
A dynamic clinical nomogram based on four routine admission indicators accurately predicted post-stroke consciousness disorders within seventy-two hours.
A contrast-enhanced ultrasound framework combining spectral-habitat analysis and perfusion fingerprinting achieved an area under the curve of 0.953 for differentiating ...
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© 2026 Scienmag - Science Magazine