Effectiveness of Artificial Intelligence- and Computer Vision-Assisted Telerehabilitation, With and Without Resistance Training, on Disease Impact and Physical Function in People With Fibromyalgia: A Randomized Controlled Trial (FibroIA 2.0)
Effectiveness of Artificial Intelligence- and Computer Vision-Assisted Telerehabilitation, With and Without Resistance Training, on Disease Impact and Physical Function in People With Fibromyalgia: A Randomized Controlled Trial (FibroIA 2.0)
Fibromyalgia (FM) is a primary chronic pain condition with an estimated prevalence of 3.3% in Chile. It is characterized by widespread musculoskeletal pain, fatigue, and impaired physical function. Although exercise therapy is considered the first-line intervention, barriers to access and poor adherence limit its effectiveness within the public healthcare system. This study evaluates the effectiveness of an Artificial Intelligence (AI)- and Computer Vision (CV)-assisted telerehabilitation platform called Rehbody. The aim is to determine whether real-time technology-driven feedback can overcome the limitations of traditional face-to-face rehabilitation models by improving disease impact and functional capacity in Chilean patients with fibromyalgia.
This superiority randomized controlled trial compares two digital telerehabilitation modalities with usual care. The intervention is delivered through the Rehbody platform, which uses computer vision algorithms to capture movement patterns through the camera of mobile devices, enabling the detection of joint angles and postural errors. The system provides immediate audiovisual feedback, ensuring safe and accurate exercise performance comparable to in-person supervision.
The primary statistical analysis will follow the Intention-to-Treat (ITT) principle using an Analysis of Covariance (ANCOVA) model, with baseline measurements included as covariates to reduce error variance. To assess the integrity of assessor blinding, the Bang Blinding Index will be administered at the end of Week 13. The study adheres to the SPIRIT 2013 and CONSORT 2010 reporting standards.
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