AI predicts hospital comebacks: a data dive
NCT ID NCT04849312
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looked at data from 372 patients to see if a computer program could predict who would need to be readmitted to the hospital within 30 days. Researchers used information like age and health history to train the computer model. The goal was to find patterns that could help doctors identify high-risk patients earlier.
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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
Locations
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Brigham and Women's Faulkner Hospital
Boston, Massachusetts, 02130, United States
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Brigham and Women's Hospital
Boston, Massachusetts, 02115, United States
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