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 …

Bone diseases are common and can result in various musculoskeletal conditions (MC). An
estimated 1.71 billion patients suffer from musculoskeletal problems worldwide. Apart from …

In medicine, particularly in radiology, there are great expectations in artificial intelligence
(AI), which can “see” more than human radiologists in regard to, for example, tumor size …

Purpose The purpose of this study was to conduct an external validation of a fracture
assessment deep learning algorithm (Rayvolve®) using digital radiographs from a real-life …

Objective: To explore a new artificial intelligence (AI)-aided method to assist the clinical
diagnosis of femoral intertrochanteric fracture (FIF), and further compare the performance …

The application of artificial intelligence (AI) and machine learning to the field of orthopaedic
surgery is rapidly increasing. While this represents an important step in the advancement of …

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 As the number of conventional radiographic examinations in pediatric
emergency departments increases, so, too, does the number of reading errors by …