Gambian Mothers Lack Obstetric Danger Sign Knowledge, But Educational Intervention Shows Promise.

Background: The Gambia has the 12 highest maternal mortality rate in the world, with 80% of deaths resulting from avoidable causes. Unawareness of pregnancy danger signs (DS) has been shown to be a barrier to seeking obstetric care, while app-based education intervention has shown promise.

Objective: We aim to assess patient awareness of DS, identify barriers to awareness, and evaluate potential for implementing smartphone-based technologies for education.

A Case of Entamoeba histolytica Liver Abscess in an Immigrant Patient.

is a pathogenic protozoan endemic to Asia, Africa, and Central and South America. However, with increased travel and emigration, it is becoming a common parasitic infection leading to many worldwide deaths. We present a case of a young Hispanic male immigrant with an amebic liver abscess.

Evaluating implementation of NCCN guideline-directed genetic screening recommendations for patients with pancreatic ductal adenocarcinoma.

Purpose: In 2019, the National Comprehensive Cancer Network (NCCN) recommended genetic testing for all patients with pancreatic ductal adenocarcinoma (PDAC). To evaluate the status of implementation of these guidelines in a loco-regional setting, we performed a retrospective, observational study among patients with newly diagnosed PDAC who received oncologic care at Northeast Georgia Medical Center in Georgia.

Methods: Chart abstraction of patients with newly diagnosed PDAC from 1 January 2020 to 31 December 2021 was performed to include information on genetic testing recommendation and completion, and time from diagnosis to testing.

Automated software-assisted diagnosis of esophageal squamous cell neoplasia using high-resolution microendoscopy.

Background And Aims: High-resolution microendoscopy (HRME) is an optical biopsy technology that provides subcellular imaging of esophageal mucosa but requires expert interpretation of these histopathology-like images. We compared endoscopists with an automated software algorithm for detection of esophageal squamous cell neoplasia (ESCN) and evaluated the endoscopists' accuracy with and without input from the software algorithm.

Methods: Thirteen endoscopists (6 experts, 7 novices) were trained and tested on 218 post-hoc HRME images from 130 consecutive patients undergoing ESCN screening/surveillance.