AI Reads Liver Scans to Spot Dangerous Tumors Before Surgery
A multicenter Chinese study shows that an MRI-based nomogram combining clinical signs with AI-derived tumor habitat features can noninvasively predict ...
A multicenter Chinese study shows that an MRI-based nomogram combining clinical signs with AI-derived tumor habitat features can noninvasively predict ...
A new study of 70 gastric cancer patients finds that Zoom-DWI sharply improves tumor boundary visibility but systematically underestimates ADC ...
A new deep learning radiomics model built on preoperative multiparametric MRI achieved AUCs up to 0.95 in predicting three-year breast ...
A dual-center study shows that a deep learning radiomics model applied to routine mammograms can noninvasively predict HER2-positive and HER2-low ...
A systematic analysis of 22 patients reveals that intracranial sarcoma metastases are strikingly heterogeneous on CT and MRI, with candidate ...
A prospective Chinese study shows that a standardized oral contrast-enhanced ultrasound flowchart stages gastric cancer depth more accurately than contrast-enhanced ...
A new study shows that combining baseline dual-layer spectral detector CT measurements with clinical factors such as B symptoms and ...
A two-center study trained a deep learning radiomics model on routine breast ultrasound images to predict sentinel lymph node metastasis ...
A new meta-analysis of eleven studies finds that AI-driven analysis of routine contrast-enhanced CT scans can predict the Ki-67 proliferation ...
Chinese researchers have built a machine-learning nomogram that combines biparametric MRI radiomics, clinical variables, and PI-RADS scores to predict clinically ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine