Jo, Gyeong Deok
Ahn, Chulkyun
Hong, Jung Hee
Kim, Da Som
Park, Jongsoo
Kim, Hyungjin
Kim, Jong Hyo
Goo, Jin Mo
Nam, Ju Gang
Funding for this research was provided by:
Korea Medical Device Development Fund (RS-2020-KD000226, 1711174549, RS-2020-KD000226, 1711174549)
National Research Foundation of Korea (NRF) grant (2022R1A2C1091805, 2022R1A2C1091805)
Article History
Received: 14 April 2023
Accepted: 17 August 2023
First Online: 11 September 2023
Declarations
:
: This retrospective study was approved by the Institutional Review Board of Seoul National University Hospital (IRB number: 2101-127-1190), and the requirement for informed consent was waived. This study was conducted in accordance with the Declaration of Helsinki. We followed the Strengthening the Reporting of Observational Studies in Epidemiology guideline [CitationRef removed]. None of the study patients have been analyzed in previous publications.
: Not applicable.
: Activities related to the present article: J.H.K. is a co-CEO of ClariPi and C.A. is an employee of ClariPi. The role of these two authors (J.H.K. and C.A.) were confined to providing the deep-learning reconstruction software (ClariCT.AI), and they did not participate in data analysis or writing of original draft. Activities not related to the present article: J.G.N. received research grants from Vuno; J.M.G. received research grants from Lunit, INFINITT Healthcare, Dongkook Lifescience, and LG electronics; H.K. received consulting fees from RADISEN; holds stock and stock options in Medical IP. All other authors (G.D.J., J.H.H., D.S.K., and J.P.) declare that they have no competing interests.