@article{2eb6585047294a429e2dfc7f48ba321b,
title = "Artificial Intelligence–Enabled POCUS in the COVID-19 ICU: A New Spin on Cardiac Ultrasound",
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.)",
keywords = "COVID-19, artificial intelligence, cardiac ultrasound, deep learning, point of care ultrasound",
author = "Cheema, {Baljash S.} and James Walter and Akhil Narang and Thomas, {James D.}",
note = "Funding Information: Dr. Narang has previously received honoraria from Caption Health for unrelated work. Dr. Thomas has received consulting and grant support from Edwards, Abbott, GE Medical, and Caption Health; and his spouse is employed by Caption Health. Drs. Cheema and Walter have reported that they have no relationships relevant to the contents of this paper to disclose. Funding Information: The authors would like to acknowledge Caption Health for providing the AI-guided echocardiography machines used in this work and the IDP Foundation, Inc. for their kind contribution that helped build the research facility where this project was completed. Publisher Copyright: {\textcopyright} 2021 The Authors",
year = "2021",
month = feb,
doi = "10.1016/j.jaccas.2020.12.013",
language = "English (US)",
volume = "3",
pages = "258--263",
journal = "JACC: Case Reports",
issn = "2666-0849",
publisher = "Elsevier Inc.",
number = "2",
}