Binary ‘Skeletal Failure’ Rule Proposed to Make AI Vertebral Fracture Screening Trustworthy
A new invited review proposes a binary
A new invited review proposes a binary
A Frontiers in Medicine article argues that imaging innovations spread mainly by passive diffusion, which reproduces access inequalities, and that ...
A Mayo Clinic cohort study found that steeper fat loss and emerging muscle differences on CT scans were associated with ...
A new deep learning network called MALCNet reconstructs missing MRI information in the latent space, achieving statistically significant gains in ...
A systematic review of 284 studies maps how AI is transforming breast cancer imaging, from CNN detection and foundation-model segmentation ...
A new mini-review in Frontiers in Imaging outlines how artificial intelligence can integrate mammography and MRI phenotypes with ctDNA genotypes ...
Seven new ahead-of-print studies in The Journal of Nuclear Medicine report advances in prostate cancer theranostics, AI survival prediction, radiopharmaceutical ...
A multi-center study shows that a deep learning model can detect extramural vascular invasion on rectal cancer MRI with senior-radiologist-level ...
A new meta-analysis of eleven studies finds that AI-driven analysis of routine contrast-enhanced CT scans can predict the Ki-67 proliferation ...
A new 3D convolutional neural network called COV-DSNet stages COVID-19 patients as progressing or remitting from chest CT scans and ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine