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AI Chatbot-Assisted Aerobic Exercise Guided by the Transtheoretical Model and Self-determination Theory With Machine Learning Algorithms to Provide Real-time, Personalized Feedback in Traumatic Brain Injury
Sponsor: National Defense Medical Center, Taiwan
Summary
This study aims to develop and evaluate an AI-driven Personalized Exercise Feedback Program (AI-PEF) to enhance health outcomes in mTBI patients. Methods: AI-PEF integrates the transtheoretical model and self-determination theory with machine learning algorithms to provide real-time, personalized feedback. A phased randomized controlled trial will be conducted: Phase I,small-Scale Pilot Study (Early Feedback): A single-arm pilot study with 5 patients will be conducted over four weeks to gather feedback on usability, engagement, and content clarity.Phase II assesses the program's impact on functional capacity, sleep quality and depressive symptoms, with 50 participants in a 2-arm randomized trial in 3 months.Phase III will assess the program's impact on functional capacity, sleep quality and depressive symptoms, with 50 participants of waitlist control evaluation in a two-arm randomized trial.
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
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
50
Start Date
2025-08-14
Completion Date
2031-08-31
Last Updated
2026-08-25
Healthy Volunteers
No
Conditions
Interventions
AI-PEF
Participants will follow a 6months walking program with five 30-minute sessions per week, progressively increasing intensity based on heart rate and effort indices. Garmin fitness trackers will monitor adherence and intensity. Remote guidance will support participants via weekly digital health messages on the LINE app, offering personalized feedback, goal reinforcement, and lifestyle recommendations. Participants will also receiThese AI feedback implementations will be tailored to complement the in-person education and will include reminders of the individualized goals set during the remote exercise intervention and consultation . The digital component will also offer a platform for patients to share their progress and seek further guidance during the scheduled in-person consultation. The use of digital AI feedback aligns with the trend of integrating technology into healthcare services, providing a convenient and accessible modality for supporting parents engaging in regular exercise.
Active Control
Participants in the active control group will receive standard TBI care, including Garmin-based self-monitoring and routine clinic visits at baseline (T0), 1 months (T1), 2months(T2),and 3 months (T3). These visits will include general health education and recommendations on daily physical activity. No personalized or digital exercise strategies will be provided. Participants completing the 3-month protocol will have the option to access the AI-PEF program. When active control group participants completing the 3-month protocol will have the option to access the AI-PEF program.Then participants will use AI-PEF program to be the waitlist control group after 3 months to 6months, with assessments conducted at 6 months (T4).
Locations (1)
Tri-Service General Hospital
Taipei, Taiwan