AI model aims to predict cancer Patients' emergency room visits
NCT ID NCT07601802
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested a machine learning model that uses electronic health records to predict which cancer patients receiving infusion therapy are at risk of needing emergency care or hospitalization within 30 days. Researchers analyzed data from over 4,700 patients at UCSF. The goal is to help doctors provide extra support to high-risk patients and prevent unplanned hospital visits.
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 model could help doctors identify cancer patients at high risk of needing emergency care, allowing earlier supportive interventions to prevent hospital visits.
What could go wrong
This is an observational study using existing medical records, not a treatment trial. The model may not work as well in other hospitals or patient groups, and it does not directly improve patient outcomes.
Disclaimer
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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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University of California, San Francisco
San Francisco, California, 94143, United States