The future of digital health with federated learning

The future of digital health with federated learning

Abstract Data-driven machine learning (ML) has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems. Existing medical data is not fully exploited by ML primarily because it sits in data...

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Bibliographic Details
Main Authors: Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus Maier-Hein, Sébastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
Computer applications to medicine. Medical informatics
R858-859.7
Online Access:https://doaj.org/article/32cc7c58a8074ffe8d62799e5fe58178
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https://doaj.org/article/32cc7c58a8074ffe8d62799e5fe58178

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