Nature | Vol 586 | 15 October 2020 | E19Corrections & amendments
Addendum: International
evaluation of an AI
system for breast cancer
screening
https://doi.org/10.1038/s41586-020-2679-9
Check for updatesScott Mayer McKinney, Marcin Sieniek, Varun Godbole,
Jonathan Godwin, Natasha Antropova, Hutan Ashrafian, Trevor Back,
Mary Chesus, Greg S. Corrado, Ara Darzi, Mozziyar Etemadi,
Florencia Garcia-Vicente, Fiona J. Gilbert, Mark Halling-Brown,
Demis Hassabis, Sunny Jansen, Alan Karthikesalingam,
Christopher J. Kelly, Dominic King, Joseph R. Ledsam,
David Melnick, Hormuz Mostofi, Lily Peng, Joshua Jay Reicher,
Bernardino Romera-Paredes, Richard Sidebottom,
Mustafa Suleyman, Daniel Tse, Kenneth C. Young, Jeffrey De Fauw
& Shravya Shetty
To assist with the replication of our results, we have expanded the Sup-
plementary Methods of our Article to provide more detail on how our
deep learning system was trained. This includes additional optimi-
zation hyperparameters, as well as a more exhaustive description of
the data augmentation strategy. Revised Supplementary Methods
are presented in the Supplementary Information to this Addendum.
Please also see the accompanying Matters Arising Comment
(Haibe-Kains et al., https://doi.org/10.1038/s41686-020-2766-y)^1 and
Reply (McKinney et al., https://doi.org/10.1038/s41686-020-2767-x)^2.
In addition, the middle initial of author Greg Corrado should be
‘S’ rather than ‘C’. This error has been corrected online.
Supplementary Information is available in the online version of this Amendment.
- Haibe-Kains, B. et al. Transparency and reproducibility in artificial intelligence. Nature
https://doi.org/10.1038/s41586-020-2766-y (2020). - McKinney, S. M. et al. Reply to: Transparency and reproducibility in artificial intelligence.
Nature https://doi.org/10.1038/s41586-020-2767-x (2020).
Addendum to: Nature https://doi.org/10.1038/s41586-019-1799-6
Published online 01 January 2020