Tag: Medical Imaging

Chinese researchers have developed interpretable machine learning models that combine CT radiomic features with routine blood indicators to diagnose gastrointestinal ...

Researchers have identified a mathematical probability ceiling in ordinal machine learning models that can silently suppress rare blood cell stages, ...

A new meta-analysis of 18 studies finds that AI models analyzing preoperative MRI, CT, and PET scans can predict lymphovascular ...

Researchers in China have developed HSF-Net, a hybrid-scale fusion deep learning network that achieved an 83.4 percent Dice score in ...

A semi-automated AI segmentation framework converts routine cervical spine MRI into quantitative measures of disc degeneration that correspond with standard ...

Researchers have developed a compact optimized convolutional neural network framework that classifies multiple lung diseases from CT and chest X-ray ...

A new U-shaped deep learning network with an attention fusion module outperforms established models in segmenting the liver and its ...

A new confidentiality-preserving spiking neural transformer detects breast cancer in histopathology images with over 98% accuracy while computing entirely on ...

Mayo Clinic researchers show that AI-based spectral reconstruction can halve radiation dose in CT-guided kidney ablations while matching or exceeding ...

A systematic review of 17 studies covering 18,043 people found that whole-body MRI screening without a medical indication mostly yields ...