AI camera system could predict patient falls before they happen
NCT ID NCT07000981
First seen Jan 05, 2026 · Last updated Jun 19, 2026 · Updated 19 times
Summary
This study tested a new system that uses cameras and artificial intelligence to predict fall risk in hospital patients. 177 adults walked in a corridor while a camera and a phone accelerometer recorded their movements. The system analyzed their gait to estimate fall risk, aiming to be more objective than traditional methods. The goal is to improve patient safety by identifying those at risk in real time.
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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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Contacts and locations
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Locations
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Turgut Özal Medical Center
Malatya, Battalgazi, 44280, Turkey (Türkiye)
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 system could provide a more objective and real-time way to predict fall risk in hospitals, potentially reducing fall-related injuries.
What could go wrong
This is a small, completed development study, not a large clinical trial. The system's accuracy and real-world usefulness need further testing in diverse settings before it can be widely adopted.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.