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

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.