AI Reads Hidden Brain Injury in Newborns When MRI Looks Normal
A clinical-radiomics machine learning model can detect hypoxic-ischemic encephalopathy in term newborns whose conventional MRI scans appear visually normal, achieving ...
A clinical-radiomics machine learning model can detect hypoxic-ischemic encephalopathy in term newborns whose conventional MRI scans appear visually normal, achieving ...
A new study quantifies how ultrasound performance for detecting recurrent papillary thyroid carcinoma varies dramatically across neck levels, with sensitivity ...
A new deep learning network called MALCNet reconstructs missing MRI information in the latent space, achieving statistically significant gains in ...
A multicenter Chinese study shows that a machine-learning radiomics model built from routine non-contrast CT scans, combined with clinical features, ...
A head-to-head study of 81 rectal cancer patients finds MRI leads for local T staging while ⁶⁸Ga-FAPI-04 PET/CT excels at ...
A new deep learning network grades the gain quality of automated breast ultrasound images with 95.49 percent accuracy, outperforming standard ...
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 staged, uncertainty-aware registration framework called PSRR outperformed standard algorithms in 120 water-tank phantom trials, cutting ultrasound-to-CT alignment error by ...
A prospective study and meta-analysis find that FAPI PET/CT detects peritoneal metastasis in gastric cancer with excellent specificity but limited ...
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© 2025 Scienmag - Science Magazine