From Revisions to Insights: Converting Radiology Report Revisions into Actionable Educational Feedback Using Generative AI Models.

Expert feedback on trainees' preliminary reports is crucial for radiologic training, but real-time feedback can be challenging due to non-contemporaneous, remote reading and increasing imaging volumes. Trainee report revisions contain valuable educational feedback, but synthesizing data from raw revisions is challenging. Generative AI models can potentially analyze these revisions and provide structured, actionable feedback.

When a Lump is More Than Just a Lump: Anaplastic Large Cell Lymphoma Presenting as a Pediatric Breast Mass.

Anaplastic large cell lymphoma (ALCL) is a rare non-Hodgkin T-cell lymphoma characterized by a cluster of differentiation-30 positivity. Subtypes are characterized by positive or negative anaplastic lymphoma kinase (ALK) expression. ALCLs account for about 10% to 15% of all pediatric non-Hodgkin lymphomas and more than 90% of the cases are ALK-positive.

High-resolution neurosonographic examination of the lenticulostriate vessels in neonates with hypoxic-ischemic encephalopathy.

Objective: To assess the feasibility of visualizing lenticulostriate vessels (LV) using a linear high-resolution ultrasound probe and characterize LV morphology to determine whether morphological alterations in LV are present in neonatal hypoxic-ischemic encephalopathy (HIE) as compared to the unaffected infants.

Methods: We characterized LV by their echogenicity, width, length, tortuosity, and numbers of visualized stems/branches in neurosonographic examinations of 80 neonates. Our population included 45 unaffected (non-HIE) and 35 with clinical and/or imaging diagnosis of HIE.

RadRemind!-an Automated Paging System for Reminding Radiology Residents of Their Roles and Responsibilities.

Tasks which are scheduled at irregular intervals afford greater scheduling flexibility but are also more difficult to remember. Difficulty remembering clinical tasks not only create potential inefficiencies in patient care but were also identified as a source of anxiety among our residents. We implemented RadRemind! an automated system of pager notifications in order to improve patient care and reduce residents' anxiety.