AI Reads Multi-Phase CT Scans to Tell Benign Thyroid Nodules From Cancer
A multicenter study shows that an AI model combining multi-phase CT radiomics with clinical data can accurately distinguish benign from ...
A multicenter study shows that an AI model combining multi-phase CT radiomics with clinical data can accurately distinguish benign from ...
A multicenter Chinese study shows that an MRI-based nomogram combining clinical signs with AI-derived tumor habitat features can noninvasively predict ...
A CT-based radiomic model outperformed the R.E.N.A.L. nephrometry score in predicting which patients with clear cell renal cell carcinoma would ...
A leakage-controlled multimodal AI model combining PET/CT radiomics, deep-learning features, metabolic parameters and blood-based indices achieved moderate preoperative prediction of ...
A combined spectral CT and radiomics nomogram achieved over 0.9 area under the curve in distinguishing pancreatic neuroendocrine tumors from ...
A five-center study shows deep learning models, especially nnU-Net, predict aggressive meningioma grades from MRI more reliably across hospitals than ...
Researchers in China built a multimodal AI framework combining clinical data, CT enterography radiomics and deep learning on double-balloon enteroscopy ...
A new deep learning radiomics model built on preoperative multiparametric MRI achieved AUCs up to 0.95 in predicting three-year breast ...
A retrospective study found that combining a thymoma with a three-millimeter rim of surrounding tissue on CT scans improved machine ...
A meta-analysis of 40 studies covering 12,769 patients shows that radiomics-based models combining CT image features with clinical data can ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine