New AI tool aims to predict falls before they happen in seniors
NCT ID NCT04354623
First seen May 01, 2026 · Last updated Jun 03, 2026 · Updated 7 times
Summary
This study enrolled 100 older adults (65+) to collect movement data from wearable sensors and video recordings. The goal was to create a database and use machine learning to develop an algorithm that can predict future falls. This could help doctors identify high-risk patients earlier and prevent injuries.
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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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Vancouver Coastal Health Research Institute, VGH Research Pavilion Room 186
Vancouver, British Columbia, V5Z 1M9, Canada
Conditions
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