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Performance of artificial intelligence-based software for the automatic detection of lung lesions on chest radiographs of patients with suspected lung cancer

Crossref DOI link: https://doi.org/10.1007/s11604-023-01503-1

Published Online: 2023-11-30

Published Print: 2024-03

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

Authors

Takamatsu, Atsushi

Ueno, Midori

Yoshida, Kotaro https://orcid.org/0000-0002-8398-0969
Kobayashi, Takeshi

Kobayashi, Satoshi

Gabata, Toshifumi
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Text and Data Mining valid from 2023-11-30

Version of Record valid from 2023-11-30
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Article History

Received: 22 August 2023

Accepted: 11 October 2023

First Online: 30 November 2023

Declarations

:

: All authors have completed the ICMJE uniform disclosure form. The authors have no conflicts of interest to declare.

: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the institutional board of Kanazawa University Hospital and individual consent for this retrospective analysis was waived.

: The requirement for informed consent was waived due to the observational nature of the study.

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