Human-AI Teaming in Intensive Care: A Socio- Technical Systems View and International Delphi Study Among Data Scientists
dc.contributor.author
Bienefeld-Seall, Nadine
dc.contributor.author
Keller, Emanuela
dc.contributor.author
Grote, Gudela
dc.date.accessioned
2023-12-14T13:47:55Z
dc.date.available
2023-12-13T11:55:45Z
dc.date.available
2023-12-14T09:57:27Z
dc.date.available
2023-12-14T13:47:55Z
dc.date.issued
2023-06-20
dc.identifier.isbn
10.2196/preprints.50130
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/647283
dc.language.iso
en
en_US
dc.publisher
JMIR Publications
en_US
dc.title
Human-AI Teaming in Intensive Care: A Socio- Technical Systems View and International Delphi Study Among Data Scientists
en_US
dc.type
Working Paper
dc.date.published
2023-06-20
ethz.journal.title
JMIR Preprints
ethz.pages.start
50130
en_US
ethz.version.edition
v1
en_US
ethz.notes
Currently submitted to: Journal of Medical Internet Research
en_US
ethz.publication.place
Toronto
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03356 - Grote, Gudela / Grote, Gudela
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03356 - Grote, Gudela / Grote, Gudela
en_US
ethz.date.deposited
2023-12-13T11:55:45Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2023-12-14T13:47:56Z
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2023-12-14T13:47:56Z
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