AI could help predict falls in Parkinson's patients

NCT ID NCT07058714

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

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.

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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

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Locations

Biruni University

Istanbul, Zeytinburnu, 34752, Turkey (Türkiye)

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