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Siemens Healthineers AI-based COVID-19 Severity Algorithm

Siemens Healthineers has launched the Atellica COVID-19 Severity Algorithm, a model designed to help predict the potential of progression to severe disease and life-threatening multiorgan dysfunction in COVID-19 patients.

Leveraging deidentified COVID-19 patient data from more than 14,000 COVID-19 patients from multiple healthcare institutions worldwide, nine clinically significant lab parameters were identified and selected for inclusion in the algorithm. In addition to patient age, D-dimer, lactate dehydrogenase, lymphocyte  percentage, eosinophil percentage, creatinine, C-reactive protein (CRP), ferritin, PT-INR, and high-sensitivity cardiac troponin I are used to help predict the likelihood of disease progression to severe disease endpoints.