Deep Learning on Liver MRI Shows Promise for Detecting Liver Cancer, but Evidence Remains Thin
A systematic review finds that deep learning on liver MRI reaches pooled sensitivity of 0.862 and specificity of 0.916 for ...
A systematic review finds that deep learning on liver MRI reaches pooled sensitivity of 0.862 and specificity of 0.916 for ...
Researchers report a low-cost NMR field probe that measures magnetic fields without prior calibration, validated from 1 mT to 45 ...
A thin monolithic CsI(Tl) crystal read out by an 8 by 8 silicon photomultiplier array resolves 59.5 keV gamma-ray positions ...
A cross-sectional study of 60 knee osteoarthritis patients found ultrasound strongly correlated with MRI in measuring medial femoral cartilage thickness ...
A large multicentre analysis of the METRIC trial found that MR enterography and intestinal ultrasound agree well on a global ...
A new dual-branch AI framework called TBFuseFormer detects tuberculosis on chest X-rays with 99.39 percent held-out test accuracy after removing ...
A lightweight AI pipeline combining wavelet and texture features classified hemorrhagic stroke, ischemic stroke and normal tissue on brain CT ...
A retrospective study of 200 patients found that shortened 68Ga-PSMA PET/CT protocols miss tumor manifestations in a minority of patients ...
A two-cycle audit of 640 radiology request forms from private clinics in Asaba, Nigeria, found no fully completed forms at ...
A new promptable diffusion-enhanced framework achieved 98.1% classification accuracy and a 93.2% Dice score for explainable brain tumor segmentation and ...
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© 2025 Scienmag - Science Magazine