Accurately identifying and localizing concealed cracks in asphalt pavements through
nondestructive ground-penetrating radar (GPR) testing has attracted much attention …

Please see the Editorial Comment by Hillary W. Garner discussing this article. Fractures are
common injuries that can be difficult to diagnose, with missed fractures accounting for most …

Artificial intelligence (AI) was a new interdiscipline of computer technology, mathematic,
cybernetics and determinism. These years, AI had obtained a significant development by the …

Pelvis fracture detection is vital for diagnosing patients and making treatment decisions for
traumatic pelvis injuries. Computer‐aided diagnostic approaches have recently become …

The emergency department is an environment with a potential risk for diagnostic errors
during trauma care, particularly for fractures. Convolutional neural network (CNN) deep …

The posterior statistical distributions of fatigue strength are determined using Bayesian
inferential statistics and the Metropolis Monte Carlo method. This study explores how …

Purpose The use of computed tomography (CT) in fractures is time consuming, challenging
and suffers from poor inter-surgeon reliability. Convolutional neural networks (CNNs), a …

Pelvic fracture is a severe trauma with a high rate of morbidity and mortality. Accurate and
automatic diagnosis and surgical planning of pelvic fracture require effective identification …

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 …

This study aims to develop a software for measuring the computed tomography (CT) number
of multiple materials automatically and investigate the impact of tube voltage on the …