AI Algorithms Can Predict Outcomes of COVID-19 Patients with Mild Symptoms in ER

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AI Algorithms Can Predict Outcomes of COVID-19 Patients with Mild Symptoms in ER

– Artificial intelligence algorithms can predict outcomes of COVID-19 patients with mild symptoms in emergency rooms, according to recent research findings published in Radiology: Artificial Intelligence journal.

– Researchers trained the algorithm from data on 338 positive COVID-19 patients between the ages of 21 and 50 by using diverse patient data from emergency departments within Mount Sinai Health System hospitals (The Mount Sinai Hospital in Manhattan, Mount Sinai Queens, and Mount Sinai Brooklyn) between March 10 and March 26.

Mount Sinai researchers have developed an artificial intelligence algorithm to rapidly predict outcomes of COVID-19 patients in the emergency room based on test and imaging results. Published in the journal, Radiology: Artificial Intelligence, the research reveals that if the AI algorithms were implemented in the clinical setting, hospital doctors can identify patients at high risk of developing severe cases of COVID-19 based on the severity score. This can lead to closer observation and more aggressive and quicker treatment.

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