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

Journal: The journal of trauma and acute care surgery
PMID: 39327643

Abstract

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).

Authors

  • John Cull
    Prisma Health, University of South Carolina School of Medicine-Greenville, Greenville, SC, USA.
  • Dustin Morrow
    Prisma Health, Department of Emergency Medicine, Division Chief of Emergency Ultrasound, University of South Carolina, School of Medicine Greenville, Greenville, SC, USA.
  • Caleb Manasco
  • Ashley Vaughan
  • John Eicken
  • Hudson Smith

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