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 ...
A CT-based study of 62 patients found that coronary blood flow measurements decline after transcatheter aortic valve replacement even though ...
A new study shows that mapping personalized brain functional networks before surgery helps neurosurgeons protect cognitive networks in patients with ...
Quantitative indocyanine green near-infrared fluorescence imaging reveals that diabetic patients show far weaker foot perfusion recovery after revascularization than patients ...
A 21-year national analysis of CDC mortality data finds that deaths associated with radiological procedures and radiotherapy in the United ...
A new meta-analysis of 18 studies finds that deep learning applied to dynamic contrast-enhanced breast MRI achieves 90 percent sensitivity ...
A prospective study of 412 children found that GPT-5.2 Instant missed nearly half of elbow fractures on radiographs, with sensitivity ...
A phantom study shows that the direction of breast compression in prone tomosynthesis-guided vacuum-assisted biopsy significantly affects device warnings and ...
Japanese researchers have developed TAME-Q, an open-source pipeline that automates reproducible semi-quantification of florzolotau (18F) tau PET scans and matches ...
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© 2025 Scienmag - Science Magazine