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.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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150 people
The number who actually took part.
- Started
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May 2024
- Finished
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Aug 2025
- Lead sponsor
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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
Thai elderly who have received check-ups or treatment at King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
- Ages
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65 to 80 years
- Sex
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Anyone
Show the full entry requirements Hide 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: 1\) Male and female individuals aged 65-80 years. Exclusion Criteria: 1. History of previous lower limb surgery, such as total knee replacement or ankle surgery. 2. History of a neurological disorder, such as stroke or Parkinson's disease. 3. History of vestibular disease, such as Meniere's disease. 4. History of seizures or epilepsy. 5. The presence of metal implanted devices in or around the head area 6. MoCA score \< 26
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Department of Medicine, Faculty of Medicine, Chulalongkorn University.
Bangkok, 10330, Thailand
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Other studies related to the condition(s) this trial covers.
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