Background: Perilunate/lunate injuries are frequently misdiagnosed. We hypothesize that utilization of a machine learning algorithm can improve human detection of perilunate/lunate dislocations.
Methods: Participants from emergency medicine, hand surgery, and radiology were asked to evaluate 30 lateral wrist radiographs for the presence of a perilunate/lunate dislocation with and without the use of a machine learning algorithm, which was used to label the lunate.
Purpose: Brachial plexus traction injuries have conventionally been categorized as involving the C5-C6, C5-C7, C5-T1, and C8-T1 roots. In this article, we report a distinct clinical presentation of brachial plexus injury characterized by intact finger flexion with signs of complete brachial plexus injury.
Methods: From 2010 to 2022, 989 patients who sustained brachial plexus injuries were examined and underwent surgery.