AI cameras spot fall risk before it happens
NCT ID NCT07000981
First seen Jan 05, 2026 · Last updated May 29, 2026 · Updated 18 times
Summary
This study tested whether a computer system using cameras and machine learning could predict a person's risk of falling. 177 adults walked in a hospital corridor while a camera and a phone in their pocket recorded their movements. The system analyzed walking patterns like step length and speed to estimate fall risk. The goal is to create a tool that helps nurses identify high-risk patients quickly and objectively.
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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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