Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit.

van de Sande, Davy; van Genderen, Michel E; Huiskens, Joost; Gommers, Diederik; van Bommel, Jasper

van de Sande, Davy; van Genderen, Michel E; Huiskens, Joost; Gommers, Diederik; van Bommel, Jasper.

Afiliação

van de Sande D; Department of Adult Intensive Care, Erasmus MC University Medical Center, Room Ne-413, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
van Genderen ME; Department of Adult Intensive Care, Erasmus MC University Medical Center, Room Ne-413, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands. m.vangenderen@erasmusmc.nl.
Huiskens J; SAS Institute, Health Care Analytics, Huizen, The Netherlands.
Gommers D; Department of Adult Intensive Care, Erasmus MC University Medical Center, Room Ne-413, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
van Bommel J; Department of Adult Intensive Care, Erasmus MC University Medical Center, Room Ne-413, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.

Intensive Care Med ; 47(7): 750-760, 2021 07.

Article em En | MEDLINE | ID: mdl-34089064

Assuntos

Inteligência Artificial; Unidades de Terapia Intensiva; Humanos; Estudos Observacionais como Assunto; Estudos Retrospectivos

Palavras-chave

Artificial intelligence; Clinical trials; Intensive care unit; Machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Unidades de Terapia Intensiva Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Intensive Care Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Holanda País de publicação: Estados Unidos

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