AI Reads Spinal X-Rays to Predict Damage Progression in Axial Spondyloarthritis
A machine learning model combining a deep learning signature from spinal X-rays with clinical features accurately predicts short-term structural damage ...
A machine learning model combining a deep learning signature from spinal X-rays with clinical features accurately predicts short-term structural damage ...
The distinction between T3a and T3b disease sits at the heart of the study's most striking finding, and it deserves ...
A seven-year Ontario study of 56,836 psychiatric inpatients found that 8.2 percent were readmitted within thirty days of discharge and ...
A new review argues that chronic spontaneous urticaria needs validated prognostic tools combining clinical features, patient-reported scores, and biomarkers such ...
A new review outlines how personalized digital twin heart models built from patient MRI could overcome the limits of ejection ...
Researchers in China developed a simple five-point clinical score, built from four variables available within 24 hours of PICU admission, ...
A decade-long Chinese cohort study of 36,505 patients found that a simple calculation from routine blood counts, estimated plasma volume ...
A 14-year single-center study of 153 pediatric ERCP procedures using conventional adult duodenoscopes found a 91.5 percent technical success rate, ...
A two-cohort study of 286 gastric cancer patients shows that combining primary-tumor pathological response with the exact count of residual ...
A multicentre study of 607 Chinese psychiatric nurses used interpretable machine learning to identify perceived pressure, age, professional identity, depression ...
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© 2025 Scienmag - Science Magazine