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Diagnostic performance of artificial intelligence for pediatric pulmonary nodule detection on chest computed tomography: comparison of simulated lower radiation doses

Crossref DOI link: https://doi.org/10.1007/s00431-023-05194-8

Published Online: 2023-09-12

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

Authors

Salman, Rida

Nguyen, HaiThuy N.

Sher, Andrew C.

Hallam, Kristina

Seghers, Victor J.

Sammer, Marla B. K.
Funding

Funding for this research was provided by:

Siemens USA
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Text and Data Mining valid from 2023-09-12

Version of Record valid from 2023-09-12
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Article History

Received: 11 May 2023

Revised: 31 August 2023

Accepted: 5 September 2023

First Online: 12 September 2023

Declarations

:

: Our institutional review board approved this retrospective Health Insurance Portability and Accountability Act (HIPPA)-compliant study, and patient consent was waived.

: Dr. Nguyen received research funding from Siemens Medical Solutions USA, Inc. Dr. Hallam is a senior scientist at Siemens Medical Solutions USA, Inc. The remaining authors declare that they have no conflict of interest.

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