Purpose To assess generalizability of published deep learning (DL) algorithms for radiologic
diagnosis. Materials and Methods In this systematic review, the PubMed database was …

Background Patients with fractures are a common emergency presentation and may be
misdiagnosed at radiologic imaging. An increasing number of studies apply artificial …

Hospital emergency departments frequently receive lots of bone fracture cases, with
pediatric wrist trauma fracture accounting for the majority of them. Before pediatric surgeons …

Background The interpretation of radiographs suffers from an ever-increasing workload in
emergency and radiology departments, while missed fractures represent up to 80% of …

Wrist trauma and even fractures occur frequently in daily life, particularly among children
who account for a significant proportion of fracture cases. Before performing surgery …

Purpose The main objective of this study was to compare radiologists' performance without
and with artificial intelligence (AI) assistance for the detection of bone fractures from trauma …

Digital radiography is widely available and the standard modality in trauma imaging, often
enabling to diagnose pediatric wrist fractures. However, image interpretation requires time …

Background Since image-based fracture prediction models using deep learning are lacking,
we aimed to develop an X-ray-based fracture prediction model using deep learning with …

Wrist Fracture is the most common type of fracture with a high incidence rate. Conventional
radiography (ie X-ray imaging) is used for wrist fracture detection routinely, but occasionally …

Deep learning is a subfield of state-of-the-art artificial intelligence (AI) technology, and
multiple deep learning-based AI models have been applied to musculoskeletal diseases …