AI analyzes 100,000 COVID-19 cases to predict who gets worst outcomes
NCT ID NCT04569851
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.
Disclaimer
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This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Hospital Universitario La Princesa
Madrid, Madrid, Spain
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Hospital Universitario de Guadalajara
Guadalajara, Guadalajara, Spain