Feasibility of machine integrated point of care lung ultrasound automatic B-lines tool in the Corona-virus 2019 critical care unit.

Tsaban, Gal; Galante, Ori; Almog, Yaniv; Ullman, Yuval; Fuchs, Lior

Tsaban, Gal; Galante, Ori; Almog, Yaniv; Ullman, Yuval; Fuchs, Lior.

Tsaban G; Medical Intensive Care Unit, Soroka University Medical Center, P.O.B 151, Beersheva, Israel.
Galante O; Department of Cardiology, Soroka University Medical Center, Beersheva, Israel.
Almog Y; Faculty of Health Sciences, Ben Gurion University of the Negev, Beersheva, Israel.
Ullman Y; Medical Intensive Care Unit, Soroka University Medical Center, P.O.B 151, Beersheva, Israel.
Fuchs L; Faculty of Health Sciences, Ben Gurion University of the Negev, Beersheva, Israel.

Crit Care ; 25(1): 345, 2021 09 24.

Article in English | MEDLINE | ID: covidwho-1437002

Subject(s)

Artificial Intelligence/standards; COVID-19/diagnostic imaging; Ultrasonography/instrumentation; Artificial Intelligence/statistics & numerical data; COVID-19/physiopathology; Feasibility Studies; Humans; Intensive Care Units/organization & administration; Intensive Care Units/statistics & numerical data; Point-of-Care Systems/statistics & numerical data; Ultrasonography/methods; Ultrasonography/statistics & numerical data

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Artificial Intelligence / Ultrasonography / COVID-19 Limits: Humans Language: English Journal: Crit Care Year: 2021 Document Type: Article Affiliation country: S13054-021-03770-8

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