Endoscopic repair of duodenal perforations, a scoping review.

Background: There is a discrepancy in the surgical and endoscopic literature for managing duodenal perforations. Although often managed conservatively, surgical repair is the standard treatment for duodenal perforations. This contrasts with the gastroenterology literature, which now recommends endoscopic repair of duodenal perforations, which are more frequently iatrogenic from the growing field of advanced endoscopic procedures.

Diagnostic Workup and Therapeutic Intervention of Hiatal Hernias Discovered as Incidental Findings on Computed Tomography.

Background: Computed tomography imaging routinely detects incidental findings; most research focuses on malignant findings. However, benign diseases such as hiatal hernia also require identification and follow-up. Natural language algorithms can help identify these non-malignant findings.

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.