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

Osteoporosis and its clinical consequence, bone fracture, is a multifactorial disease that has
been the object of extensive research. Recent advances in machine learning (ML) have …

Background In the emergency room, clinicians spend a lot of time and are exposed to
mental stress. In addition, fracture classification is important for determining the surgical …

Background Less experienced clinicians sometimes make misdiagnosis of hip fractures. We
developed computer-aided diagnosis (CAD) system for hip fractures on plain X-rays using a …

Pelvic fracture is one of the leading causes of death in the elderly, carrying a high risk of
death within 1 year of fracture. This study proposes an automated method to detect pelvic …

Methods: This systematic review utilized data compiled from three key scientific databases:
PubMed (2045 publications), Scopus (877 publications), and Web of Science (2495 …

Objectives To systematically quantify the diagnostic accuracy and identify potential
covariates affecting the performance of artificial intelligence (AI) in diagnosing orthopedic …

Artificial Intelligence (AI), encompassing Machine Learning and Deep Learning, has
increasingly been applied to fracture detection using diverse imaging modalities and data …

Objectives The aim of this study was to evaluate the diagnostic performance of nonspecialist
readers with and without the use of an artificial intelligence (AI) support tool to detect …

Nondisplaced femoral neck fractures are sometimes misdiagnosed by radiographs, which
may deteriorate into displaced fractures. However, few efficient artificial intelligent methods …