NCT07058714Completed
Multimodal Artificial Intelligence Based Fall Risk Prediction in Parkinson's Disease
Multimodal Artificial Intelligence-Based Fall Risk Prediction in Patients With Parkinson's Disease: Single vs. Dual-Task Conditions
Source: ClinicalTrials.gov · Last updated 19 Sept 2025
Brief summary (registry, in English)
Parkinson's disease (PD) is characterized by motor symptoms such as bradykinesia, tremor, rigidity, and postural instability, often leading to gait disturbances and a high risk of falls. Dual-task walking assessments-requiring simultaneous motor and cognitive engagement-have gained importance in evaluating real-life mobility impairments in PD, as they more accurately reflect challenges faced during daily activities. While clinical tools such as the Timed Up and Go (TUG), Four Square Step Test (FSST), and Mini-BESTest are widely used, their in-person application may not always be feasible for individuals with mobility or access limitations. Telehealth-based assessment methods, therefore, offer practical alternatives. Recently, the integration of artificial intelligence (AI), particularly machine learning (ML), into clinical assessments has opened new possibilities for fall risk prediction by enabling the simultaneous analysis of motor, cognitive, and balance-related parameters. This study aims to predict fall risk in individuals with PD using AI-based models that incorporate multiple data sources. Furthermore, it compares the predictive accuracy of models derived from single-task and dual-task conditions, with the goal of developing a more precise and clinically useful decision-support tool for early intervention.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 30 (actual)
- First submitted
- 1 Jul 2025
- Start date
- Jul 2025
- Primary completion date
- Jul 2025
- Lead sponsor
- Biruni University
- Diseases
- Parkinson disease
- NCT number
- NCT07058714
What you commit to
- Study type: Observational
- Participants enrolled: 30
- From Jul 2025 to the primary completion date, Jul 2025
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Presence of other neurological, cardiovascular, or orthopedic conditions affecting gait
- Diagnosis of any other neurological disorder (e.g., dementia, cerebrovascular disease)
Other
- Severe hearing or visual impairments
- Less than 5 years of formal education
- Presence of vascular pathology in the lower extremities
Who the study is looking for
- 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)
Age in the registry: 40 years to 75 years · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Biruni University Coordinator of this site? Confirm its status | Istanbul | Turkey (Türkiye) | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.