Structured Reporting: An Intervention to Improve Procedure Documentation in Breast Imaging.

Objective: To evaluate intervention of structured reporting after wrong-site surgery that occurred after localization of an incorrect breast biopsy marker.

Methods: An IRB-exempt retrospective database review identified patients who underwent core-needle biopsy of a breast lesion from July 1, 2014 to July 1, 2020. They were divided into three cohorts: 2014 pre-intervention/pre-sentinel, 2017 pre-intervention/post-sentinel, and 2019 post-intervention of structured reports.

Using artificial intelligence to risk stratify COVID-19 patients based on chest X-ray findings.

Background: Deep learning-based radiological image analysis could facilitate use of chest x-rays as a triaging tool for COVID-19 diagnosis in resource-limited settings. This study sought to determine whether a modified commercially available deep learning algorithm (M-qXR) could risk stratify patients with suspected COVID-19 infections.

Methods: A dual track clinical validation study was designed to assess the clinical accuracy of M-qXR.