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Can AI predict whether COVID patients will live or die? This tool shows doctors who is more at risk

The scientists behind the tool say it could be especially valuable to resource-limited countries.

Division of pharmacologyTurku universitySpanish society of internal medicineInternational forum of internal medicineArgentinian society of medicineMax planck group leaderMax planck institute of experimental medicineUniversity of viennaOutcome predictorSenior scientistMax planck instituteExperimental medicineSpanish societyInternal medicineArgentinian societyInternational forum

New tool can accurately predict which hospitalized patients need critical care for COVID-19

Scientists have developed and validated an algorithm that can help healthcare professionals identify who is most at risk of dying from COVID-19 when admitted to a hospital, reports a study published today in eLife.

Emily hendersonDivision of pharmacologyUniversity of turkuMax planck group leaderUniversity of viennaSenior scientistAssociate professorOutcome predictorCovid 19Critical careArtificial intelligenceArs cov 2

Early warning system forecasts who needs critical care for COVID-19

Early warning system forecasts who needs critical care for COVID-19
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Division of pharmacologyUniversity of turkuMax planck group leaderUniversity of viennaSenior scientistAssociate professorOutcome predictor