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Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value

Crossref DOI link: https://doi.org/10.1186/s12916-021-01928-3

Published Online: 2021-03-04

Published Print: 2021-12

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

Authors

Chamberlin, Jordan

Kocher, Madison R.

Waltz, Jeffrey

Snoddy, Madalyn

Stringer, Natalie F. C.

Stephenson, Joseph

Sahbaee, Pooyan

Sharma, Puneet

Rapaka, Saikiran

Schoepf, U. Joseph

Abadia, Andres F.

Sperl, Jonathan

Hoelzer, Phillip

Mercer, Megan

Somayaji, Nayana

Aquino, Gilberto

Burt, Jeremy R. http://orcid.org/0000-0003-4169-1015
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Text and Data Mining valid from 2021-03-04

Version of Record valid from 2021-03-04
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Article History

Received: 10 November 2020

Accepted: 26 January 2021

First Online: 4 March 2021

Ethics approval and consent to participate

: This study was approved by an IRB committee (eIRB# Pro00081880) at the Medical University of South Carolina. The need for informed consent was waived. Radiologic images used in this article are completely deidentified, and no details are reported on individuals within the manuscript.

: Not applicable.

: P.S., P.S., S.R., J.S., and P.H. are employees of Seimens Healthineers. Funding: J.S. receives research funding from Siemens Healthineers. J.R.B. has an ownership interest in YellowDot Innovations.

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