AI analyzes 100,000 COVID-19 cases to predict who gets worst outcomes
NCT ID NCT04569851
First seen May 03, 2026 · Last updated May 12, 2026 · Updated 2 times
Summary
This study aimed to find factors that predict how COVID-19 patients would fare, such as whether they needed hospital care or intensive care. Researchers used artificial intelligence to analyze electronic health records of 100,000 patients across multiple hospitals. The study was observational, meaning no treatments were tested, and it was terminated early.
Disclaimer
Read more
Show less
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.
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.
By submitting, you agree to our Terms of use
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Locations
-
Hospital Universitario La Princesa
Madrid, Madrid, Spain
-
Hospital Universitario de Guadalajara
Guadalajara, Guadalajara, Spain
Conditions
Explore the condition pages connected to this study.