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

Cheema, Baljash S; Walter, James; Narang, Akhil; Thomas, James D

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

Cheema BS; Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Walter J; Division of Pulmonology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Narang A; Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Thomas JD; Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

JACC Case Rep ; 3(2): 258-263, 2021 Feb.

Article in English | MEDLINE | ID: covidwho-1077956

ABSTRACT

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

AI, artificial intelligence; COVID-19; COVID-19, coronavirus disease-2019; ECMO, extracorporeal membrane oxygenation; EF, ejection fraction; ICU, intensive care unit; IVC, inferior vena cava; LV, left ventricle; POCUS, point-of-care ultrasound; RV, right ventricle; SARS-CoV-2, severe acute respiratory syndrome-coronavirus-2; artificial intelligence; cardiac ultrasound; deep learning; point of care ultrasound

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report Language: English Journal: JACC Case Rep Year: 2021 Document Type: Article Affiliation country: J.jaccas.2020.12.013

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