insights on new machine learning models they developed that predict patients' coronavirus risks three, five, seven, and 10 days after they're admitted to the hospital—including patients' risk of mortality or need for intubation. The AI models were developed using electronic health record data from over 4,000 adult coronavirus patients in the Mount Sinai Health System.
These new, validated coronavirus prediction tools should help frontline healthcare workers better mitigate coronavirus spread to some extent: As of Sunday, the US recorded more than But AI isn't going to be a silver bullet—some clinicians arethese algorithms may actually widen disparities in care if they're pulling from biased data sets.
more objective measures in its coronavirus risk assessment tool—like comorbidities and lab values—rather than using race as a proxy. Join other Insider Intelligence clients who receive this Briefing, along with other Digital Health forecasts, briefings, charts, and research reports to their inboxes each day.