Classification of clinically relevant intravascular volume status using point of care ultrasound and machine learning.

Wshah, Safwan; Xu, Beilei; Steinharter, John; Reilly, Clifford; Morrissette, Katelin

Wshah, Safwan; Xu, Beilei; Steinharter, John; Reilly, Clifford; Morrissette, Katelin.

Afiliação

Wshah S; University of Vermont, Innovation 417, Burlington, Vermont, United States.
Xu B; FLX AI, Inc., New York, New York, United States.
Steinharter J; University of Vermont, Larner College of Medicine, Burlington, Vermont, United States.
Reilly C; University of Vermont, Larner College of Medicine, Burlington, Vermont, United States.
Morrissette K; University of Vermont Medical Center, Department of Medicine, Division of Pulmonary and Critical Care Medicine, Burlington, Vermont, United States.

J Med Imaging (Bellingham) ; 9(5): 054502, 2022 Sep.

Article em En | MEDLINE | ID: mdl-36186002

Palavras-chave

artificial intelligence; clinical decision aid; machine learning; point of care ultrasound; ultrasound

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Med Imaging (Bellingham) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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