Article

Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitals

2023-05-11

Abstract excerpt

<h4>Background</h4> Tackling biases in medical artificial intelligence requires multi-centre collaboration, however, ethical, legal and entrustment considerations may restrict providers’ ability to participate. Federated learning (FL) may eliminate the need for data sharing by allowing algorithm development across multiple hospitals without data transfer. Previously, we have shown an AI-driven screening solution f...

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Literature Corpus work: 62afcbee-46ba-599b-a0d4-138f42791e1d
DOI: 10.1101/2023.05.05.23289554

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