Behavioural artificial intelligence technology for COVID-19 intensivist triage decisions: making the implicit explicit

Jesse de Metz; Patrick J. Thoral; Caspar G. Chorus; Paul W.G. Elbers; Bas van den Bogaard

doi:10.1007/s00134-021-06453-8

Behavioural artificial intelligence technology for COVID-19 intensivist triage decisions: making the implicit explicit

Jesse de Metz, Patrick J. Thoral^*, Caspar G. Chorus, Paul W.G. Elbers, Bas van den Bogaard

^*Corresponding author for this work

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Original language	English
Pages (from-to)	1327-1328
Number of pages	2
Journal	Intensive Care Medicine
Volume	47
Issue number	11
DOIs	https://doi.org/10.1007/s00134-021-06453-8
Publication status	Published - 2021

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DeMetz2021_Article_BehaviouralArtificialIntelligeFinal published version, 647 KBLicence: CC BY-NC

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title = "Behavioural artificial intelligence technology for COVID-19 intensivist triage decisions: making the implicit explicit",

author = "{de Metz}, Jesse and Thoral, {Patrick J.} and Chorus, {Caspar G.} and Elbers, {Paul W.G.} and {van den Bogaard}, Bas",

year = "2021",

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language = "English",

volume = "47",

pages = "1327--1328",

journal = "Intensive Care Medicine",

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T1 - Behavioural artificial intelligence technology for COVID-19 intensivist triage decisions

T2 - making the implicit explicit

AU - de Metz, Jesse

AU - Thoral, Patrick J.

AU - Chorus, Caspar G.

AU - Elbers, Paul W.G.

AU - van den Bogaard, Bas

PY - 2021

Y1 - 2021

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U2 - 10.1007/s00134-021-06453-8

DO - 10.1007/s00134-021-06453-8

M3 - Letter

AN - SCOPUS:85113425207

SN - 0342-4642

VL - 47

SP - 1327

EP - 1328

JO - Intensive Care Medicine

JF - Intensive Care Medicine

IS - 11

ER -

Behavioural artificial intelligence technology for COVID-19 intensivist triage decisions: making the implicit explicit

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