A quality assessment tool for focused abdominal sonography for trauma examinations using artificial intelligence.

Background: Current tools to review focused abdominal sonography for trauma (FAST) images for quality have poorly defined grading criteria or are developed to grade the skills of the sonographer and not the examination. The purpose of this study is to establish a grading system with substantial agreement among coders, thereby enabling the development of an automated assessment tool for FAST examinations using artificial intelligence (AI).

Methods: Five coders labeled a set of FAST clips.