AI Reads Routine CT Scans to Tell Dangerous Adrenal Tumors from Harmless Ones
Researchers trained machine learning models on routine multiphasic CT scans to distinguish adrenal metastases from lipid-poor adenomas with over 90 ...
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 ...
A locked uncertainty-aware AI triage model safely automated about 37 percent of cervical lymph node ultrasound cases while deferring the ...
A benchmark analysis tested widely used anthropometric fat mass prediction models against previously unseen data from 8,228 adults across 30 ...
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© 2025 Scienmag - Science Magazine