AI Reads Ultrasound and MRI Together to Predict Breast Cancer Subtypes Without a Biopsy
A two-center Chinese study shows that a machine learning model combining radiomics features from ultrasound and DCE MRI can non-invasively ...
A two-center Chinese study shows that a machine learning model combining radiomics features from ultrasound and DCE MRI can non-invasively ...
Researchers have externally validated an automated pipeline that measures paraspinal muscle size and fat content at the L3-L4 level on ...
Researchers trained machine learning models on routine multiphasic CT scans to distinguish adrenal metastases from lipid-poor adenomas with over 90 ...
An independent study of 243 patients confirms that the Bellmunt Risk Score, based on performance status, hemoglobin, and liver metastases, ...
Researchers have developed PREDICT-AML, a machine learning framework that predicts individual drug responses in acute myeloid leukemia by combining chemical ...
A scoping review of 29 studies finds that machine learning can detect obstructive sleep apnea from snoring sounds with high ...
A systematic review of 26 studies finds that although assisted reproductive technology nearly doubles preeclampsia risk, no existing clinical prediction ...
A multicenter study of 1,029 patients shows that a CT-based recursive nested habitat analysis can noninvasively predict the aggressive CK19-positive ...
A multicenter study combined DCE-MRI radiomics with clinical risk factors and machine learning to preoperatively predict lymphovascular invasion in breast ...
A multicenter Chinese validation study of 2,374 critically ill children found the Phoenix sepsis score outperformed pSOFA for predicting in-hospital ...
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© 2026 Scienmag - Science Magazine