AI Spots Hidden Heart Disease Signals in Ordinary Chest X-Rays, Study Finds
A vision-capable large language model detected coronary artery calcification on routine chest X-rays with promising accuracy, suggesting ordinary radiographs could ...
A vision-capable large language model detected coronary artery calcification on routine chest X-rays with promising accuracy, suggesting ordinary radiographs could ...
A machine learning model applied to routine CT urography scans can non-invasively predict HER2 status in bladder cancer, potentially guiding ...
Researchers in India report a hybrid dual-attention pyramidal deep learning model that detects liver tumors on CT scans with 96.52 ...
A Chinese research team combined delta-radiomics from CT scans with clinical data and SHAP-based machine learning interpretation to predict the ...
A retrospective study of 116 patients shows that quantitative CT parameters, especially the maximum enhanced CT value, can reliably distinguish ...
A new study tests ultrasound, CT, and MRI for sexing immature agile frogs, finding MRI can detect juvenile testes while ...
A multicenter Chinese study shows that a machine-learning radiomics model built from routine non-contrast CT scans, combined with clinical features, ...
A registration-guided 3D-UNet framework automatically localizes the brain's anterior and posterior commissures on routine CT scans with millimeter precision, enabling ...
Veterinarians report the first documented hepatocellular adenoma in a urodele amphibian, surgically removed from a nine-year-old Mexican axolotl that remained ...
Urologists in China report a rare urachal calculus that mimicked an ordinary bladder stone on CT and evaded an initial ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine