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https://pubmed.ncbi.nlm.nih.gov/38114729
Federated learning, which trains AI models on distributed datasets without sharing them, can improve the off-domain performance and reliability of AI models analyzing chest radiographs, particularly when trained on smaller and more diverse datasets.