Tag: clinical decision support

A machine learning model called Amylo-Detect uses routine electronic health record data to identify patients at risk for cardiac amyloidosis, ...

A comprehensive BMC Medicine review finds that artificial intelligence and digital health tools show strong potential to transform cardiometabolic care, ...

Researchers have developed an evidential deep learning framework that detects stroke with near-perfect accuracy while quantifying its own uncertainty in ...

Researchers built an expert-annotated Chinese knee MRI dataset and an optimized Swin-Unet Transformer model that segments femoral and tibial cartilage ...

Researchers in China built a prototypical network-based few-shot learning framework that reproduces expert consensus severity stratification in newly diagnosed Crohn's ...

An independent evaluation in PLOS Digital Health finds that deep learning models excel at breast cancer detection from medical images ...

A randomized feasibility trial in India shows that a five-part quality improvement strategy combining care coordination, electronic decision support, reminders, ...

Chinese researchers have built a machine-learning nomogram that combines biparametric MRI radiomics, clinical variables, and PI-RADS scores to predict clinically ...

A qualitative study of eighteen ICU physicians, nurses, and managers reveals that workflow integration, explainable predictions, and leadership support will ...

A Korean validation study of 108 adolescents with major depressive disorder found that large language model analysis of patient journal ...