Artificial intelligence (AI), a branch of machine learning (ML) has been increasingly
employed in the research of trauma in various aspects. Hemorrhage is the most common …

To date, there are no reviews on machine learning (ML) for predicting outcomes in trauma.
Consequently, it remains unclear as to how ML-based prediction models compare in the …

Abstract A Yb3+: Sr2La0· 667 (VO4) 2 crystal with dimensions 18× 15× 30 mm3 has been
grown by the Czochralski method. The absorption cross-section is 1· 45× 10− 20 cm2 at 976 …

Imaging in the emergent setting carries high stakes. With increased demand for dedicated
on-site service, emergency radiologists face increasingly large image volumes that require …

Automatic segmentation methods based on deep learning have recently demonstrated state-
of-the-art performance, outperforming the ordinary methods. Nevertheless, these methods …

Intraparenchymal hemorrhage (IPH) after a traumatic injury has been associated with poor
neurological outcomes. Although IPH may result from the initial mechanical trauma, the …

Trauma is the worldwide leading cause of death and disability in those younger than 45
years, and pelvic fractures are a major source of morbidity and mortality. Automated …

Objective Bleeding impairs observation during neurosurgery, and excessive bleeding
endangers the life of a patient. Thus, hemostasis is important during neurosurgery. The …

This paper presents a novel image segmentation method based on multiple active contours
driven by particle swarm optimization (MACPSO). The proposed method uses particle …

Background Calculation methods have a critical role in the precise sorting of medical
images. Particle swarm optimization (PSO) is a widely used approach in the clinical centers …