AI-powered personalized exercise feedback for mild traumatic brain injury
Official title: Effects of an AI Chatbot-Assisted Aerobic Exercise Guided by the Transtheoretical Model and Self-determination Theory With Machine Learning Algorithms to Provide Real-time, Personalized Feedback on Health Outcomes in Patients With Traumatic Brain Injury
Run by National Defense Medical Center, Taiwan · NCT07783828 · Data updated 2026-11-12
A AI-driven program tests whether real-time personalized exercise feedback helps people with mild traumatic brain injury improve function, sleep, and mood.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 50 (estimated) |
| Sponsor | National Defense Medical Center, Taiwan Academic / other |
| Locations | 1 site (Taipei) |
| Status | Recruiting |
| Started | August 14, 2025 |
| Main results expected | December 31, 2030 |
| Study ends | August 31, 2031 |
| Registry record updated | August 25, 2026 |
| Trial ID | NCT07783828 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults over 18 with mild TBI (GCS 13-15) who can walk independently, reside in the Greater Taipei area, and understand Chinese/Taiwanese.
✕Probably not a fit
Patients with severe medical conditions, significant cognitive impairment, or those unable to participate in moderate physical activity may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This trial tests an AI-PEF system that uses the transtheoretical model and self-determination theory to tailor aerobic exercise with real-time feedback for adults with mild traumatic brain injury. The study follows a phased approach starting with a small 5-person pilot to refine usability, then proceeds to a 2-arm randomized trial with 50 participants to measure functional capacity, sleep quality, and depressive symptoms over three months. Participants are recruited from neurosurgery clinics at Tri-Service General Hospital in Taipei and assigned to AI-PEF or an active control receiving standard exercise guidance. Assessments include fitness metrics, questionnaires, and interviews at baseline, 1, 2, and 3 months. Primary outcomes center on functional capacity, with secondary outcomes covering sleep and mood-related measures.
Why it matters
Potential benefit: If successful, AI-PEF could provide personalized exercise guidance that improves physical function and well-being after mild TBI.
How similar studies have gone: Previous research in personalized, theory-driven exercise interventions supports the potential for improved outcomes, though this AI-augmented approach is relatively novel for mTBI.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Eligible participants are patients aged over 18 with mild TBI (GCS 13-15) * who can walk independently, * reside in the Greater Taipei area, * and possess sufficient Chinese or Taiwanese language proficiency to understand the trial * complete self-administered questionnaires. Exclusion Criteria: include individuals with severe medical conditions (e.g., respiratory failure, epilepsy, psychiatric disorders), musculoskeletal or neurological impairments * hindering physical activity in the 6-minute walk test, * cognitive impairments (MMSE \< 24), * frontal lobe injuries or penetrating injury causing significant psychological dysfunction. * Patients regularly engaging in moderate-to-high-intensity aerobic exercise or participating in other studies will also be excluded to avoid bias.
Where it's running
-
Tri-Service General Hospital
Taipei, Taiwan Recruiting
Study contacts
- Study coordinator: Hui Hsun Chiang, Professor
- Email: sheisvivian@gmail.com
- Phone: 886-2-87923100
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.