An interpretable machine learning model trained on European injury surveillance data can identify emergency department patients whose records show documented...

Researchers have unveiled an unsupervised deep learning framework that clusters retinal fundus images by disease using only image-level labels, achieving...

A structural equation modeling study of 201 telecom employees in Sudan finds that information quality, vendor support, and business-IT alignment...

Researchers have built an AI pipeline that digitizes paper-based complete blood count reports with PaddleOCR and uses tuned machine learning...

A TransUNet-inspired deep learning system segmented hernia defects and abdominal wall muscles on 215 CT scans with IoU values of...

A new perspective article argues that wearables, AI, motion capture, and immersive technologies are transforming how sports injuries are predicted,...

Multiple sclerosis is a disease of accumulated evidence. Radiologists count and measure the bright white matter lesions that scar the...

A comparative study of oriented YOLO detectors on very high-resolution satellite imagery shows that compact YOLO11 models outperform larger rivals...

A new AI architecture called GCTRNet refines its own internal representations using segment-level context, achieving 99.65% accuracy in detecting premature...

A deep learning framework called InvZW leaves images completely unaltered while training a neural network through noise-adversarial learning to extract...