Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

Data privacy mechanisms are essential for rapidly scaling medical training databases to capture the heterogeneity of patient data distributions toward robust and generalizable machine learning systems. In the current COVID-19 pandemic, a major focus of artificial intelligence (AI) is interpreting chest CT, which can be readily used in the assessment and management of the disease. This paper demonstrates the feasibility of a federated learning method for detecting COVID-19 related CT abnormalitie

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ethics.ai (29 March 2021), “Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study,” evidence record 9020, https://ethics.ai/record/9020 (originally published by OpenAlex).

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