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AI could help predict falls in Parkinson's patients

NCT ID NCT07058714

Knowledge-focused Sponsor: Biruni University Source: ClinicalTrials.gov ↗

What the study statuses mean

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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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026 · Last updated Jun 26, 2026

Summary

This study tested whether artificial intelligence (AI) could better predict fall risk in people with Parkinson's disease by analyzing walking tests under single and dual-task conditions. Thirty participants completed balance and mobility assessments while being recorded on video. The goal was to develop a more precise decision-support tool for early fall prevention.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could lead to a more accurate, AI-based tool for predicting falls in Parkinson's patients, enabling earlier and more personalized interventions.
What could go wrong
This was a small, completed study with only 30 participants, so results may not apply to all Parkinson's patients. The AI models need further validation in larger, diverse groups before clinical use.

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

30 people

The number who actually took part.

Started

Jul 2025

Finished

Sep 2025

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

This study was designed as a cross-sectional study. Patients diagnosed with Idiopathic Parkinson's Disease who applied to the Neurology clinic of Bakırköy Prof. Dr. Mazhar Osman Training and Research Hospital and were referred from there will be included in the study.

Ages

40 to 75 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

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: Clinical diagnosis of idiopathic Parkinson's disease Hoehn and Yahr stage between 1 and 3 A score of at least 21 on the Montreal Cognitive Assessment (MoCA) Stable medication regimen during the past month Assessment conducted during the patient's "on" period Ability to walk independently on a flat surface (Functional Ambulation Classification ≥ 3) Exclusion Criteria: Severe hearing or visual impairments Presence of other neurological, cardiovascular, or orthopedic conditions affecting gait Diagnosis of any other neurological disorder (e.g., dementia, cerebrovascular disease) Less than 5 years of formal education Presence of vascular pathology in the lower extremities

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Conditions

The condition(s) this trial relates to.

Parkinson disease

As listed by the trial registrant

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

Parkinson disease

Contacts and locations

Locations

  • Biruni University

    Istanbul, Zeytinburnu, 34752, Turkey (Türkiye)

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