Mount Sinai uses federated learning AI technique to predict COVID-19 disease progression

Posted on by CATALYSIS
New York City-based Mount Sinai Health System researchers used federated learning, an artificial intelligence technique that protects patients' privacy, to analyze EHRs and better predict how COVID-19 patients will progress, according to a Jan. 27 news release. The federated learning technique has the potential to create machine learning models that go beyond a single health system's information without compromising patient privacy. Using the model and data from EHRs at five separate Mount Sinai hospitals, the researchers were able to predict mortality in COVID-19 patients. Read more in Becker's Hospital Review

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