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Effect of deep learning-based assistive technology use on chest radiograph interpretation by emergency department physicians: a prospective interventional simulation-based study

Crossref DOI link: https://doi.org/10.1186/s12911-021-01679-4

Published Online: 2021-11-08

Published Print: 2021-12

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

Authors

Kim, Ji Hoon

Han, Sang Gil

Cho, Ara

Shin, Hye Jung

Baek, Song-Ee
Funding

Funding for this research was provided by:

faculty research grant from Yonsei University College of Medicine (6-2017-0193, 6-2018-0202)
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Text and Data Mining valid from 2021-11-08

Version of Record valid from 2021-11-08
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Article History

Received: 21 June 2021

Accepted: 1 November 2021

First Online: 8 November 2021

Declarations

:

: The study protocol was reviewed and approved by the Institutional Review Board of Severance Hospital, South Korea (approval number 2019-3134-001) and adhered to the ethical standards of the Declaration of Helsinki. Informed consent was obtained from all participants before study enrolment.

: Not applicable.

: The authors declare that they have no competing interests.

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