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Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement

Crossref DOI link: https://doi.org/10.1186/s12880-022-00815-4

Published Online: 2022-05-13

Published Print: 2022-12

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

Authors

Na, Seongwon

Sung, Yu Sub

Ko, Yousun

Shin, Youngbin

Lee, Junghyun

Ha, Jiyeon

Ham, Su Jung

Yoon, Kyoungro

Kim, Kyung Won
Funding

Funding for this research was provided by:

National Research Foundation of Korea (No. NRF-2020R1F1A1076604)

Korea Health Industry Development Institute (HI18C1216)
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Text and Data Mining valid from 2022-05-13

Version of Record valid from 2022-05-13
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Article History

Received: 9 February 2022

Accepted: 27 April 2022

First Online: 13 May 2022

Declarations

:

: This study was performed in accordance with the Declaration of Helsinki. The institutional review board of two participating institutions (kangdong Sacred Heart Hospital [IRB No. KANGDONG 2021-06-007-001], Asan Medical Center [IRB No. 2022-0155]) approved this retrospective study and waived the requirement for informed consent for the use of patient data.

: Not applicable.

: The authors declare that they have no competing interests.

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