One MRI Sign Predicts Which Slow-Growing Brain Tumors Will Turn Deadly
New interval-censored analysis shows that even subtle contrast enhancement on diagnostic MRI is the strongest predictor of malignant transformation in ...
New interval-censored analysis shows that even subtle contrast enhancement on diagnostic MRI is the strongest predictor of malignant transformation in ...
A comprehensive review of 53 studies shows deep learning systems can automatically segment lymphoma lesions on PET/CT, non-invasively classify disease, ...
Researchers have developed a transformer-based multimodal AI model that accurately identifies sarcopenia and severe sarcopenia in gastric cancer patients using ...
A new review in the Journal of Translational Medicine maps how radiomics, pathomics and multi-omics integration can decode the tumor ...
Researchers have built a nomogram that fuses spectral CT imaging data with clinical blood markers to predict how aggressively colorectal ...
A multi-center Chinese study shows that radiomics and deep learning models applied to routine carotid CT angiography can predict plaque ...
A machine learning radiomics approach that maps internal tumor habitats on venous-phase CT scans accurately distinguishes retroperitoneal dedifferentiated liposarcoma from ...
The inaugural Thierry de Baère Lecture maps five domains, from artificial intelligence to mentorship, that will define interventional oncology by ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine