AI could spot patient decline before it happens
NCT ID NCT06574906
First seen Sep 30, 2025 · Last updated May 14, 2026 · Updated 29 times
Summary
This study tests whether artificial intelligence can predict when a patient's condition in a general hospital ward is about to worsen. Researchers will use data from 3,000 patients to train machine learning models to spot early warning signs. The goal is to alert medical staff earlier, potentially saving lives by preventing sudden, dangerous declines.
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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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Locations
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Johannes Kepler University, Kepler University Hospital
Linz, Upper Austria, 4020, Austria
Conditions
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