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FDA-approved deep learning software application versus radiologists with different levels of expertise: detection of intracranial hemorrhage in a retrospective single-center study

Crossref DOI link: https://doi.org/10.1007/s00234-021-02874-w

Published Online: 2022-01-06

Published Print: 2022-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kau, Thomas https://orcid.org/0000-0001-8680-113X
Ziurlys, Mindaugas

Taschwer, Manuel

Kloss-Brandstätter, Anita

Grabner, Günther

Deutschmann, Hannes
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Text and Data Mining valid from 2022-01-06

Version of Record valid from 2022-01-06
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Article History

Received: 26 August 2021

Accepted: 1 December 2021

First Online: 6 January 2022

Declarations

:

: The authors declare that they have no conflict of interest.

: The study was performed with approval from the local ethics committee (S2020-32). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

: For this type of retrospective study, formal consent is not required.

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