AI Reads CT Scans and Tumor Genetics to Predict Kidney Cancer Outcomes
A CT-based multimodal radiogenomic model combining tumor imaging, perirenal fat features, and genetic data outperformed conventional risk stratification for clear ...
A CT-based multimodal radiogenomic model combining tumor imaging, perirenal fat features, and genetic data outperformed conventional risk stratification for clear ...
A new multimodal ultrasound nomogram distinguishes granulomatous lobular mastitis from invasive ductal carcinoma with a validation AUC of 0.978, though ...
A multicenter Chinese study shows that an MRI-based nomogram combining clinical signs with AI-derived tumor habitat features can noninvasively predict ...
A retrospective cohort study of 482 very preterm infants finds that hemodynamically significant patent ductus arteriosus is independently associated with ...
A non-invasive nasal secretion biomarker, secretory IL-17A, predicts which patients with severe chronic rhinosinusitis with nasal polyps will regain their ...
A combined spectral CT and radiomics nomogram achieved over 0.9 area under the curve in distinguishing pancreatic neuroendocrine tumors from ...
Researchers in China have built and validated a statistical survival calculator for young patients with upper tract urothelial carcinoma using ...
Researchers in China built a multimodal AI framework combining clinical data, CT enterography radiomics and deep learning on double-balloon enteroscopy ...
Researchers in Shenzhen developed a three-variable nomogram using respiratory failure, malignancy and blood urea nitrogen to predict in-hospital mortality in ...
Researchers in China have developed and validated a ten-variable nomogram that predicts postoperative lymphedema risk in breast cancer patients with ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine