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NCT06672419 | RECRUITING | Fibromyalgia


Effectiveness of AI-Guided Exercise and Pain Neuroscience Education for Fibromyalgia (FIBROIA)
Sponsor:

Marco Antonio Morales Osorio

Information provided by (Responsible Party):

Marco Antonio Morales Osorio

Brief Summary:

This randomized controlled trial will investigate a 12-week tele-rehabilitation program for individuals with fibromyalgia (FM), combining AI-guided exercise with pain neuroscience education. Fifty participants will be randomized to either the intervention program or standard care. The primary outcome is reduction in pain intensity, with secondary outcomes including physical function and quality of life. Participants and investigators will remain blinded to group allocation, and outcome assessors and statisticians will remain blinded until data lock.

Condition or disease

Fibromyalgia

Fibromyalgia Syndrome

Intervention/treatment

AI-Guided Exercise and Pain Neuroscience Education

Usual Care for Fibromyalgia

Phase

NA

Detailed Description:

This randomized controlled trial aims to evaluate the effectiveness of a 12-week tele-rehabilitation program that integrates artificial intelligence (AI)-guided exercise, computer vision, and pain neuroscience education (PNE) for individuals with fibromyalgia (FM). The study seeks to determine whether this technology-driven approach can reduce pain intensity, improve physical function, and enhance quality of life in a population that frequently experiences limited benefit from conventional treatment strategies. Intervention Participants in the intervention group will use a tele-rehabilitation platform that applies AI and computer vision to deliver personalized exercise programs. The AI system monitors performance in real time and adapts exercises to individual capacities and progress. In parallel, participants will attend weekly sessions of pain neuroscience education, designed to improve their understanding of pain processing within the nervous system and to promote more effective self-management through cognitive and behavioral strategies. The control group will receive standard care for fibromyalgia, which typically includes pharmacological management (e.g., analgesics, antidepressants, anticonvulsants) alongside general recommendations for physical activity and self-care. Comparison between the groups will allow assessment of the added value of combining AI-guided tele-rehabilitation with PNE. Study Design Participants will be randomly assigned (1:1) to intervention or control group. The intervention will last 12 weeks, during which participants in the intervention group will complete three exercise sessions per week and one educational session weekly. All sessions will be conducted remotely through a user-friendly platform accessible via smartphones or computers. Outcome assessments will be conducted at baseline and immediately after completion of the 12-week program. Masking: Participants and investigators will remain blinded to group allocation. Outcome assessors and statisticians will also remain blinded until data lock. Objectives The primary objective is to determine whether the AI-guided exercise and PNE program reduces pain intensity and improves physical function compared with standard care. Secondary objectives include evaluating changes in quality of life, psychological well-being, and treatment adherence. Findings will provide evidence on whether technology-enabled rehabilitation can serve as an accessible, effective alternative for fibromyalgia management. Rationale Conventional therapies for fibromyalgia, such as pharmacological treatment and standard physical therapy, often provide suboptimal relief. Tele-rehabilitation represents a promising strategy to deliver personalized, supervised exercise at scale, particularly for patients in underserved or remote areas. When combined with pain neuroscience education, this approach addresses both physical and cognitive aspects of pain, with the potential to improve outcomes beyond current standards of care. This study aligns with broader public health goals to improve access to effective interventions for chronic pain. Its results may inform future clinical guidelines and support the integration of AI-driven tele-rehabilitation into routine practice for fibromyalgia and related chronic pain conditions.

Study Type : INTERVENTIONAL
Estimated Enrollment : 50 participants
Masking : DOUBLE
Masking Description : In this trial, the outcome assessors will be blinded to the group assignment of participants to minimize bias during data collection and analysis. While both participants and care providers are aware of the group assignments (open-label), the outcome assessors will not know which intervention the participants received to ensure unbiased assessment of the primary and secondary outcomes.
Primary Purpose : TREATMENT
Official Title : Effectiveness of Tele-Rehabilitation for Fibromyalgia Using AI-Guided Exercise and Computer Vision Combined With Pain Neuroscience Education (FIBRO IA): A Randomized Controlled Trial
Actual Study Start Date : 2025-12-01
Estimated Primary Completion Date : 2026-04-01
Estimated Study Completion Date : 2026-07-01

Information not available for Arms and Intervention/treatment

Ages Eligible for Study: 18 Years to 65 Years
Sexes Eligible for Study: ALL
Accepts Healthy Volunteers:
Criteria
Inclusion Criteria
  • * Clinical diagnosis of fibromyalgia according to the American College of Rheumatology criteria.
  • * Age between 18 and 65 years.
  • * Access to an internet-connected device (smartphone or computer).
  • * Ability to participate in a tele-rehabilitation program.
Exclusion Criteria
  • * Participation in another clinical trial in the last 3 months.
  • * Pregnancy or breastfeeding.
  • * Uncontrolled severe medical conditions that could interfere with the intervention (e.g., cardiac or pulmonary diseases).
  • * Physical or cognitive impairments that prevent following the exercise program.

Effectiveness of AI-Guided Exercise and Pain Neuroscience Education for Fibromyalgia (FIBROIA)

Location Details

NCT06672419


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Locations


RECRUITING

Chile, Biobío Region

San Sebastián University

Conception, Biobío region, Chile, 4030000

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