Federated learning for predicting clinical outcomes in patients with COVID-19

By
The Rhino Team
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September 15, 2021

A study published in Nature Medicine showcases the use of federated learning to develop an AI model predicting clinical outcomes for COVID-19 patients. Involving 20 institutions across five continents, the research utilized federated learning to train the model without sharing patient data, thereby maintaining privacy. The model accurately predicted the need for supplemental oxygen in COVID-19 patients, demonstrating the potential of federated learning in creating robust, generalizable AI models in healthcare.

For more details, read the full article on Nature.

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