AI Reads Hidden Brain Injury in Newborns When MRI Looks Normal
A clinical-radiomics machine learning model can detect hypoxic-ischemic encephalopathy in term newborns whose conventional MRI scans appear visually normal, achieving ...
A clinical-radiomics machine learning model can detect hypoxic-ischemic encephalopathy in term newborns whose conventional MRI scans appear visually normal, achieving ...
A rigorously validated five-predictor model failed to reliably forecast neurological deterioration within 48 hours after endovascular thrombectomy, underscoring the limits ...
A new multimodal ultrasound nomogram distinguishes granulomatous lobular mastitis from invasive ductal carcinoma with a validation AUC of 0.978, though ...
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 multicenter validation study reports that lesion size and the Ki67 proliferation index can reliably distinguish indolent oxyntic gland adenomas ...
Researchers in Shenzhen developed a three-variable nomogram using respiratory failure, malignancy and blood urea nitrogen to predict in-hospital mortality in ...
Researchers in China have developed and validated a ten-variable nomogram that predicts postoperative lymphedema risk in breast cancer patients with ...
Japanese researchers have developed and internally validated prediction models that estimate, at the moment of Medical Emergency Team activation, which ...
A single-center study of 127 patients found that a preoperative fibrinogen-to-albumin ratio independently predicted muscle-invasive and locally advanced upper tract ...
A Chinese study shows that combining CT measurements of tibial tubercle position, tibial torsion, and patient age predicts patellofemoral joint ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine