Should they stay or should they go? Stroke transfers across a hospital network pre- and post-implementation of an automated image interpretation and communication platform.

Background: A key decision facing nonthrombectomy capable (spoke) hospitals is whether to transfer a suspected large vessel occlusion (LVO) patient to a comprehensive stroke center (CSC). In a retrospective cohort study, we investigated the rate of transfers resulting in endovascular thrombectomy (EVT) and associated costs before and after implementation of an artificial intelligence (AI)-based software.

Methods: All patients with a final diagnosis of acute ischemic stroke presenting across a five-spoke community hospital network in affiliation with a CSC were included.

Identification and Treatment of SMARCA4 Deficient Poorly Differentiated Gastric Carcinoma.

Loss of expression of the gene, a subunit of the SWI/SNF complex, has been historically associated with thoracic . This loss of expression is extremely rare in gastric cancers, and its role in gastrointestinal tract carcinomas has not been fully elucidated. We report a case of a 73-year-old male with poorly differentiated, -deficient gastric cancer, showing that this immunophenotype is not limited to thoracic or advanced-stage tumors.

Utilization of Natural Language Processing Software to Identify Worrisome Pancreatic Lesions.

Background: Computed tomography (CT) imaging is routinely obtained for diagnostics, especially in trauma and emergency rooms, often identifying incidental findings. We utilized a natural language processing (NLP) algorithm to quantify the incidence of clinically relevant pancreatic lesions in CT imaging.

Patients And Methods: We utilized the electronic medical record to perform a retrospective chart review of adult patients admitted for trauma to a level 1 tertiary care center between 2010 and 2020 who underwent abdominal CT imaging.