Smarter Data Loading Cuts Medical AI Training Needs Without Sacrificing Accuracy
Researchers show that a selective embedding data loading strategy alternating X-ray and CT scans lets deep learning models reach competitive ...
Researchers show that a selective embedding data loading strategy alternating X-ray and CT scans lets deep learning models reach competitive ...
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 head-to-head study of 108 prostate cancer patients shows gallium-68 PSMA PET/CT detects bone metastases far more accurately than conventional ...
Chinese researchers have built a machine-learning nomogram that combines biparametric MRI radiomics, clinical variables, and PI-RADS scores to predict clinically ...
A Chinese study shows that combining CT measurements of tibial tubercle position, tibial torsion, and patient age predicts patellofemoral joint ...
A retrospective ultrasound study of 104 salivary gland tumors shows that irregular calcifications are the strongest independent predictor of malignancy, ...
A 2024 study claiming high-accuracy deep learning detection of ovarian cancer was retracted after its ultrasound dataset was found to ...
Researchers report that a data-efficient vision transformer classified lung cancer histopathology images with 98.64 percent accuracy and near-perfect AUC while ...
A South Korean team has combined U-Net segmentation, hyperbolic mathematical modeling, and Fast R-CNN classification to automate suprahyoid muscle ultrasound ...
A Turkish research team trained a YOLOv11x deep learning model on more than 1,500 CBCT scans to automatically classify midpalatal ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine