AI and brain scans aim to predict falls in seniors
NCT ID NCT06480279
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looked at 150 healthy Thai adults aged 65-80 to see if artificial intelligence, along with brain stimulation and sensory tests, could better predict who is at risk of falling. Researchers measured balance, muscle responses, and sensation in the legs. The goal was to develop a new tool to identify fall risk early, but no treatment or prevention was tested.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for FALL are added.
By submitting, you agree to our Terms of use
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Department of Medicine, Faculty of Medicine, Chulalongkorn University.
Bangkok, 10330, Thailand
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Virtual cues on a treadmill: a new hope for Parkinson's falls?
- A digital coach for fall prevention: can an app steady Seniors' steps?
- A stumble before memory slips? study tests if falls predict Alzheimer's
- Can a simple walking test predict falls in seniors?
- Tiny vibrations may help older adults stay steady on their feet
- Fall risk calculator could save lives by predicting who needs urgent care