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New AI tool aims to predict falls before they happen in seniors

NCT ID NCT04354623

Knowledge-focused Sponsor: University of British Columbia Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

100 people

The number who actually took part.

Started

Apr 2025

Finished

Apr 2026

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

We're planning to recruit 100 subjects from the Geriatric Medicine clinic at Vancouver General Hospital

Ages

65 years and older

Sex

Anyone

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * All subjects must be aged 65 years and older • All subjects must have had at least one fall in the last year and have been referred to the falls clinic (High Risk Subjects) OR have had no falls on the last year and have responded to our newspaper advertisement (Low Risk Subjects) Exclusion Criteria: * Subjects age less than 65 years old

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Fall injury prevention

Contacts and locations

Locations

  • Vancouver Coastal Health Research Institute, VGH Research Pavilion Room 186

    Vancouver, British Columbia, V5Z 1M9, Canada

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