Document is current
Any future updates will be listed below
-
Authors
Al-qershi, Osamah
Nguyen, Tuong L.
Elliott, Michael S.
Schmidt, Daniel F.
Makalic, Enes
Li, Shuai
Fox, Samantha K.
Dowty, James G.
Peña-Solorzano, Carlos A.
Kwok, Chun Fung
Chen, Yuanhong
Wang, Chong
Lippey, Jocelyn
Brotchie, Peter
Carneiro, Gustavo
McCarthy, Davis J.
Jeong, Yeojin
Sung, Joohon
Frazer, Helen M. L.
Hopper, John L.
-
Funding
Funding for this research was provided by:
Cancer Council Victoria grant (AF7305)
Victoria Cancer Agency Early Career grant (ECRF19020)
NHMRC Emerging Leadership Fellowship (GNT2017373)
ARC Future Fellowship grant (FT190100525)
UK Research and Innovation grant (EP/Y018036/1)
National Institute for Health and Care Research grant (NIHR158213)
National Research Foundation, Korea (2020R1A2C2101041)
Australian government Medical Research Future Fund (MRFAI000090)
Ramaciotti Foundation and the National Breast Cancer Foundation (IIRS-20-054; IIRS-2024-0100)
Cancer Australia (2012799)
National Health and Medical Research Council (APP2006899)
University of Melbourne Dame Kate Campbell Distinguished Professorial Fellowship
NHMRC Fellowship grant (GMT1137349)
- License Information
-
More Information
Article History
Received: 16 September 2025
Accepted: 25 May 2026
First Online: 28 May 2026
Declarations
Ethics approval and consent to participate: This study was approved by the ethics committee of the University of Melbourne under Ethics ID: 14545 and titled “Transforming Breast Cancer Screening with Artificial Intelligence (AI): An Exemplar for Broad AI Deployment in Healthcare.” Informed consent was waived by the board due to the data-only nature of the study.
Consent for publication: Not applicable.
Competing interests: The authors declare no competing interests.
