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Clinical impact of a deep learning system for automated detection of missed pulmonary nodules on routine body computed tomography including the chest region

Crossref DOI link: https://doi.org/10.1007/s00330-021-08412-9

Published Online: 2022-01-09

Published Print: 2022-05

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

Authors

Chen, Kueian

Lai, Ying-Chieh

Vanniarajan, Balamuralidhar

Wang, Pieh-Hsu

Wang, Shao-Chung

Lin, Yu-Chun

Ng, Shu-Hang

Tran, Pelu

Lin, Gigin https://orcid.org/0000-0001-7246-1058
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Text and Data Mining valid from 2022-01-09

Version of Record valid from 2022-01-09
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Article History

Received: 31 May 2021

Revised: 29 September 2021

Accepted: 13 October 2021

First Online: 9 January 2022

Declarations

:

: The scientific guarantor of this publication is Gigin Lin.

: Balamuralidhar Vanniarajan and Pelu Tran are employees of Ferrum Health, Santa Clara, CA, USA.

: No complex statistical methods were necessary for this paper.

: Written informed consent was waived by the Institutional Review Board.

: Institutional Review Board approval was obtained: Chang Gung IRB 202000937B0.

: • Retrospective• Diagnostic or prognostic study• Performed at one institution

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