Researchers across several African universities are exploring how machine-learning models can improve medical diagnostics while protecting patient privacy. One promising technique involves federated learning, which allows hospitals to train AI models collaboratively without sharing raw patient data. Studies involving hospitals in multiple African countries have shown that federated AI models can improve diagnostic accuracy while respecting strict data-protection requirements. However, researchers note that infrastructure limitations and uneven digital resources still pose challenges for large-scale deployment of AI healthcare systems across the continent.
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