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The Impact of Artificial Intelligence on Radiologists’ Reading Time in Bone Age Radiograph Assessment: A Preliminary Retrospective Observational Study

Crossref DOI link: https://doi.org/10.1007/s10278-024-01323-3

Published Online: 2024-11-11

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

Authors

Jeong, Sejin

Han, Kyunghwa

Kang, Yaeseul

Kim, Eun-Kyung

Song, Kyungchul

Vasanawala, Shreyas

Shin, Hyun Joo https://orcid.org/0000-0002-7462-2609
Funding

Funding for this research was provided by:

Korea Health Industry Development Institute (RS-2023-00269924)
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Text and Data Mining valid from 2024-11-11

Version of Record valid from 2024-11-11
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Article History

Received: 30 May 2024

Revised: 24 October 2024

Accepted: 28 October 2024

First Online: 11 November 2024

Declarations

:

: This retrospective study was approved by the Institutional Review Board of our institution. Informed consent was waived due to its retrospective nature. This study was conducted in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines and regulations.

: There is no conflict of interest to declare.

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