Why federated learning will do little to overcome the deeply embedded biases in clinical medicine
Name
134_2024_Article_7491.pdf
Size
1.26 MB
Format
Adobe PDF
Checksum (MD5)
787f6df2507b10c69ce9763b0c1bf5da
Author(s)
Sauer, Christopher Martin
Pucher, Gernot
Celi, Leo Anthony
Date Issued
June 3, 2024
Journal
Intensive Care Medicine
Publisher
Springer Science and Business Media LLC
Citation
Sauer, C.M., Pucher, G. & Celi, L.A. Why federated learning will do little to overcome the deeply embedded biases in clinical medicine. Intensive Care Med (2024).
Version
Final published version
MIT Department
Harvard--MIT Program in Health Sciences and Technology. Laboratory for Computational Physiology
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s00134-024-07491-8
