AI Maps MRI Signs of Vascular Invasion in Rectal Cancer
A multicentre retrospective study tested automated MRI segmentation of extramural vascular invasion, with stronger overlap for tumor regions than for the smaller vascular signals.
Research perspectives across biosignal processing, medical imaging, biomedical AI, biomaterials, explainable medicine, and biomedical devices.
Explore the blog →A multicentre retrospective study tested automated MRI segmentation of extramural vascular invasion, with stronger overlap for tumor regions than for the smaller vascular signals.
A hospital dashboard used rule-based triage to reduce reported manual MRI implant-screening workload while retaining a traceable review path.
A multicentre retrospective study tested automated MRI segmentation of extramural vascular invasion, with stronger overlap for tumor regions than for the smaller vascular signals.
A multicentre study combined ultrasound radiomics, blood-flow features, and clinical data to classify BI-RADS 4a nodules, with SHAP used to examine model signals.
A hospital dashboard used rule-based triage to reduce reported manual MRI implant-screening workload while retaining a traceable review path.
A portable EEG–fNIRS prototype passed signal-acquisition checks, but the study did not establish diagnostic performance for depression.