Three admission indicators distinguish ruptured intracranial aneurysms
A retrospective study of 167 adults found that irregular aneurysm morphology, elevated white blood cell count and increased D-dimer at ...
A retrospective study of 167 adults found that irregular aneurysm morphology, elevated white blood cell count and increased D-dimer at ...
A study of junior high school students’ online English-learning logs found that a knowledge-map and LSTM model classified three behavioral ...
A machine learning and gene network study has identified six oxidative stress-related genes with near-perfect diagnostic accuracy for pediatric sepsis ...
A three-parameter cardiac MRI model combining myocardial strain and tissue characteristics can identify hypertrophic cardiomyopathy patients whose outflow tract obstruction ...
A retrospective ultrasound study of 104 salivary gland tumors shows that irregular calcifications are the strongest independent predictor of malignancy, ...
Chinese researchers have developed interpretable machine learning models that combine CT radiomic features with routine blood indicators to diagnose gastrointestinal ...
A preliminary study shows that a multiparametric model combining ¹⁸F-MFBG PET/CT uptake measurements with clinical factors such as age and ...
A retrospective Chinese study found that lymphocyte count, serum total protein, and prothrombin time can be combined into a nomogram ...
A multicenter Chinese study developed an internally validated machine learning model combining platelet microRNAs with clinical indicators to diagnose Kawasaki ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine