AI analyzes 100,000 COVID-19 cases to predict who gets worst outcomes

NCT ID NCT04569851

Terminated Knowledge-focused Sponsor: Savana Research Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study used artificial intelligence to analyze electronic health records from 100,000 COVID-19 patients across multiple hospitals. The goal was to identify factors that predict whether a patient would be hospitalized, need ICU care, or die. The study was terminated early, so findings may be limited.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could help doctors better predict which COVID-19 patients need hospital care or ICU support.
What could go wrong: The study was terminated early, so results may be incomplete. It only looked at past records, not testing new treatments.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for COVID-19 INFECTION are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

COVID-19

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

COVID-19 INFECTION

Contacts and locations

Locations

Hospital Universitario La Princesa

Madrid, Madrid, Spain
Hospital Universitario de Guadalajara

Guadalajara, Guadalajara, Spain

More trials for these conditions

Other studies related to the condition(s) this trial covers.