AI Reads Brain Scans and ICU Scores to Spot a Deadly Sepsis Complication
Researchers in Wuhan combined automated whole-brain MRI segmentation with APACHE II and SOFA scores in an XGBoost machine learning model ...
Researchers in Wuhan combined automated whole-brain MRI segmentation with APACHE II and SOFA scores in an XGBoost machine learning model ...
A new multimodal ultrasound nomogram distinguishes granulomatous lobular mastitis from invasive ductal carcinoma with a validation AUC of 0.978, though ...
A hybrid PCA-Lasso statistical model developed by Chinese researchers forecasts agricultural water use in the Heihe River Basin with 99.7 ...
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 ...
Researchers in China developed a simple five-point clinical score, built from four variables available within 24 hours of PICU admission, ...
Researchers in Shenzhen developed a three-variable nomogram using respiratory failure, malignancy and blood urea nitrogen to predict in-hospital mortality in ...
A national randomized trial of telephone-based care coordination found that only 59 percent of high-need, high-cost beneficiaries could be contacted ...
A prospective study of nearly 1,900 patients in China has developed and temporally validated a six-factor prediction model for catheter-associated ...
Researchers in Guangzhou have developed and externally validated a seven-variable nomogram that predicts one-, three-, and five-year risk of LDL-C ...
Researchers in Shandong, China, have developed and externally validated machine learning models that use preoperative data to predict complications, prolonged ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine