Conventional radiography (CR) is primarily utilized for fracture diagnosis. Artificial intelligence (AI) for CR is a rapidly growing field aimed at enhancing efficiency and increasing diagnostic accuracy. However, the diagnostic performance of commercially available AI fracture detection solutions (CAAI-FDS) for CR in various anatomical regions, their synergy with human assessment, as well as the influence of industry funding on reported accuracy are unknown.
View Article and Find Full Text PDFBMC Musculoskelet Disord
September 2024
Background: Approximately 15% of patients who undergo total shoulder arthroplasty (TSA) have diabetes mellitus, and this group is particularly at risk for perioperative complications. The objective of this study was to quantify the effects of insulin dependence on the risk of 30-day perioperative adverse events after TSA in patients with diabetes mellitus using a large national database.
Materials And Methods: We retrospectively identified patients with diabetes mellitus who underwent TSA in the National Surgical Quality Improvement Program (NSQIP) database from 2011 to 2020.
Background: The aim of this study was to investigate (1) whether fracture pattern and age are associated with local bone quality (LBQ), and (2) whether a scoring system based on these variables is able to predict LBQ in proximal humerus fractures (PHF).
Materials And Methods: A retrospective study was performed of all acute PHF at a Level 2 trauma center with plain radiographs and CT between June 2009 and March 2022. Local bone quality was measured by using the deltoid tuberosity index (DTI).