Artificial Intelligence–Enabled POCUS in the COVID-19 ICU: A New Spin on Cardiac Ultrasound

Baljash S. Cheema*, James Walter, Akhil Narang, James D. Thomas

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We present the novel use of a deep learning–derived technology trained on the skilled hand movements of cardiac sonographers that guides novice users to acquire high-quality bedside cardiac ultrasound images. We illustrate its use at the point of care through a series of patient encounters in the COVID-19 intensive care unit. (Level of Difficulty: Beginner.)

Original languageEnglish (US)
Pages (from-to)258-263
Number of pages6
JournalJACC: Case Reports
Volume3
Issue number2
DOIs
StatePublished - Feb 2021

Keywords

  • COVID-19
  • artificial intelligence
  • cardiac ultrasound
  • deep learning
  • point of care ultrasound

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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