Clinical Validation of AI-powered Smart Vehicle Assisted Gait Training in Neurodegenerative Disorders
1 other identifier
interventional
120
1 country
1
Brief Summary
This study aims to verify the safety and preliminary clinical benefits of long-term gait training using AI-powered smart electric vehicles for patients with neurodegenerative diseases such as Parkinson's disease and dementia.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jan 2026
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 2, 2025
CompletedFirst Posted
Study publicly available on registry
November 17, 2025
CompletedStudy Start
First participant enrolled
January 2, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 10, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2028
December 10, 2025
September 1, 2025
2.9 years
October 2, 2025
December 3, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Gait speed
Before & after training (the training sessions will last for 2~12 weeks).
Secondary Outcomes (5)
Gait length
Before & after training (the training sessions will last for 2~12 weeks).
Number of falls
During 2~12 training sessions.
Patients' gait confidence scale
Before & after training (the training sessions will last for 2~12 weeks).
Patients' balance function
Before & after training (the training sessions will last for 2~12 weeks).
Patients' feedback
Before & after training (the training sessions will last for 2~12 weeks).
Study Arms (1)
Treatment arm
EXPERIMENTALGait abnormalities in patients with neurodegenerative diseases
Interventions
The specific applications of artificial intelligence in intelligent electric vehicles mainly include gait monitoring and analysis, real-time feedback and guidance, autonomous adaptive assistance, safety prevention and warnings, data collection and longterm tracking, as well as adding interactive and entertainment elements.
Eligibility Criteria
You may qualify if:
- Patients with neurodegenerative diseases (such as Parkinson's disease or dementia).
- Age between 50-85 years.
- Capable of walking for at least 10 meters, but may have unsteady gait or history of falls.
- Able to understand the trial procedures and give informed consent.
You may not qualify if:
- Severe cardiopulmonary disease or recent major surgery.
- Unable to walk or requiring comprehensive physical support.
- Severe cognitive impairment preventing understanding of the trial procedures or giving informed consent.
- Visual or auditory impairments severe enough to prevent following trial instructions.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Taipei Medical University Shuang Ho Hospital
New Taipei City, 235, Taiwan
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Lung Chan, MD, PhD
Taipei Medical University Shuang Ho Hospital
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 2, 2025
First Posted
November 17, 2025
Study Start
January 2, 2026
Primary Completion (Estimated)
December 10, 2028
Study Completion (Estimated)
December 31, 2028
Last Updated
December 10, 2025
Record last verified: 2025-09