Spectral CT and AI Join Forces to Predict Aggressive Bowel Cancer Before Surgery
Researchers have built a nomogram that fuses spectral CT imaging data with clinical blood markers to predict how aggressively colorectal ...
Researchers have built a nomogram that fuses spectral CT imaging data with clinical blood markers to predict how aggressively colorectal ...
Researchers in Spain have created an AI system that detects large vessel occlusions on brain CT angiography and simultaneously identifies ...
A prospective study of 124 patients found that a deep learning reconstruction technique called DEPICTA can complete a multi-contrast brain ...
Researchers have developed a method that computes mass density and effective atomic number maps directly from virtual monoenergetic images produced ...
A multicentre study of 247 patients shows fully automated AI-based CT analysis matches semi-automated software in measuring the aortic annulus ...
Researchers in India have developed a hybrid CNN-Transformer deep learning model that classifies lung cancer and its major subtypes from ...
Finnish researchers have shown that scout-based angular tube current modulation can cut CBCT radiation dose by up to 20 percent ...
A new review of 41 studies finds that children with chronic diseases can accumulate 20-50 mSv or more of ionizing ...
Researchers have developed a compact four-block residual attention network that classifies Alzheimer's disease and brain tumors from MRI scans with ...
A locked uncertainty-aware AI triage model safely automated about 37 percent of cervical lymph node ultrasound cases while deferring the ...
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© 2025 Scienmag - Science Magazine