Deep Learning for FAST Quality Assessment.

Journal: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Published Date: Jan 1, 2023

Abstract

OBJECTIVES: To determine the feasibility of using a deep learning (DL) algorithm to assess the quality of focused assessment with sonography in trauma (FAST) exams.

Authors

  • Mesfin Taye
    School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, 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.
  • John Cull
    Prisma Health, University of South Carolina School of Medicine-Greenville, Greenville, SC, USA.
  • Dane Hudson Smith
    Holcombe Department of Electrical Engineering, Watt Family Innovation Center, Clemson University, Clemson, SC, USA.
  • Martin Hagan
    Oklahoma State University-Stillwater, Stillwater, OK, USA.

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