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Authors
Buchlak, Quinlan D. https://orcid.org/0000-0001-6749-3223
Tang, Cyril H. M.
Seah, Jarrel C. Y.
Johnson, Andrew
Holt, Xavier
Bottrell, Georgina M.
Wardman, Jeffrey B.
Samarasinghe, Gihan
Dos Santos Pinheiro, Leonardo
Xia, Hongze
Ahmad, Hassan K.
Pham, Hung
Chiang, Jason I.
Ektas, Nalan
Milne, Michael R.
Chiu, Christopher H. Y.
Hachey, Ben
Ryan, Melissa K.
Johnston, Benjamin P.
Esmaili, Nazanin
Bennett, Christine
Goldschlager, Tony
Hall, Jonathan
Vo, Duc Tan
Oakden-Rayner, Lauren
Leveque, Jean-Christophe
Farrokhi, Farrokh
Abramson, Richard G.
Jones, Catherine M.
Edelstein, Simon
Brotchie, Peter
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Funding
Funding for this research was provided by:
annalise.ai
The University of Notre Dame Australia
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Article History
Received: 29 November 2022
Revised: 16 June 2023
Accepted: 1 July 2023
First Online: 22 August 2023
Declarations
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: The scientific guarantor of this publication is Prof. Peter Brotchie.
: This study was funded by annalise.ai. QB, CT, JS, AJ, XH, GB, JW, GS, LDSP, HX, HA, HP, JC, NE, MM, CC, BH, MR, BJ, JH, CJ, SE, and PB were employed by or seconded to annalise.ai. CJ and SE were employed by I-MED. The authors listed above report personal fees from annalise.ai during the conduct of the study and personal fees from annalise.ai outside the submitted work. Remaining authors have no competing interests. The annalise.ai CTB deep learning model is available commercially.
: Prof. Graham Hepworth kindly provided statistical advice for this manuscript.Numerous authors (PB, CT, JS, XH, AJ, BH, CJ, QB, NE, TG) have significant statistical expertise.
: Written informed consent was waived by the Institutional Review Board.
: Institutional Review Board approval was obtained.
: No study subjects or cohorts have been previously reported.
: • retrospective• diagnostic study• performed at one institution
