AI camera system spots fall risk before it happens
NCT ID NCT07000981
First seen Jan 05, 2026 · Last updated May 06, 2026 · Updated 17 times
Summary
This study tested whether a computer system using cameras and machine learning could predict fall risk in adults. 177 people who could walk with or without help had their walking recorded by a camera and a phone accelerometer. The system analyzed their gait and combined it with a standard fall-risk score to see if it could accurately classify risk. The goal is to create a contactless, real-time tool to help nurses prevent falls.
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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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Turgut Özal Medical Center
Malatya, Battalgazi, 44280, Turkey (Türkiye)
Conditions
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