Purpose Fracture detection is one of the most commonly used and studied aspects of
artificial intelligence (AI) in medicine. In this systematic review and meta-analysis, we aimed …

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

Aim To complete a scoping review of the literature investigating the performance of artificial
intelligence (AI) systems currently in development for their ability to detect fractures on plain …

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

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 …

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

Bone diseases, such as femoral neck injuries, knee osteoarthritis, and fractures, are
common, with an estimated 1.71 billion patients suffering from musculoskeletal problems …

Background Missed fractures are a common cause of diagnostic discrepancy between initial
radiographic interpretation and the final read by board-certified radiologists. Purpose To …

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 …

Background Artificial-intelligence algorithms derive rules and patterns from large amounts of
data to calculate the probabilities of various outcomes using new sets of similar data. In …