Tag: Machine learning

A scholarly exchange in Pediatric Radiology over a deep learning model for detecting neonatal pneumothorax highlights the gap between overall ...

A survey of 1,546 Chinese medical postgraduates found that higher self-efficacy was strongly associated with lower AI-dependence scores, suggesting that ...

A 50-nanometer gold-coated optical fiber sensor combined with a machine-learning classifier distinguishes bovine, porcine, and fish gelatin with 96.55% accuracy ...

A study of 5,580 ICU patients with coronary heart disease shows that combining the stress hyperglycemia ratio with a laboratory-based ...

A new review in Cellular and Molecular Life Sciences proposes hybrid biological-digital tumor twins, coupling patient-derived organoids with computational models ...

Researchers in China built a multimodal AI framework combining clinical data, CT enterography radiomics and deep learning on double-balloon enteroscopy ...

An XGBoost artificial intelligence model trained on Swedish neurointensive care data has successfully predicted dangerous intracranial pressure surges in traumatic ...

By fusing L-band radar from ALOS-2 with Sentinel-2 optical data and a weighted machine learning ensemble, researchers have mapped above-ground ...

Researchers have developed a chronology-aware variational autoencoder that generates faithful Chinese black-and-white traditional motifs from a dataset of only 300 ...

Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based learning in a semi-supervised framework that improves ...