EFFICACY OF ARTIFICIAL INTELLIGENCE DRIVEN PROGRAM VERSUS TRADITIONAL PHYSICAL THERAPY PROGRAM IN PATIENTS WITH LOW BACK DYSFUNCTION
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI-Driven Rehabilitation Program, Traditional Physical Therapy Program.
- Who it may be relevant to
- Registry conditions: Low Back Pain, Low Back Dysfunction. Basic parameters: 18 years — 45 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Egypt
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Efficacy of an Artificial Intelligence-Driven Program Versus a Traditional Physical Therapy Program in Patients With Low Back Dysfunction
Overview
Low back dysfunction is one of the most common musculoskeletal disorders and is associated with pain, disability, and reduced quality of life. Artificial intelligence (AI) has emerged as a promising tool to support personalized rehabilitation by improving exercise prescription, monitoring adherence, and providing real-time feedback. This randomized controlled trial aims to compare the effectiveness of an AI-driven rehabilitation program with a traditional physical therapy program in patients with low back dysfunction. Primary outcomes include pain intensity, functional disability, and quality of life. The findings may provide evidence regarding the role of AI-assisted rehabilitation in improving clinical outcomes.
Detailed description
This study is a prospective randomized controlled trial designed to evaluate the efficacy of an artificial intelligence-driven rehabilitation program compared with a traditional physical therapy program in patients with low back dysfunction. Eligible participants will be randomly allocated into two groups. The experimental group will receive an AI-driven rehabilitation program, while the control group will receive a standardized traditional physical therapy program. Clinical outcomes will be assessed before and after the intervention using validated outcome measures for pain, functional disability, quality of life, and other variables specified in the study protocol. The study aims to determine whether integrating artificial intelligence into rehabilitation provides superior clinical outcomes compared with conventional physical therapy.
Interventions
- Other AI-Driven Rehabilitation Program
A personalized rehabilitation program guided by artificial intelligence, including individualized exercise prescription and progression. - Other Traditional Physical Therapy Program
A conventional physical therapy rehabilitation program delivered according to the study protocol
Primary outcome measures
- Pain Intensity [Time frame: Baseline and immediately post intervention 6 weeks of treatment.]
Secondary outcome measures (3)
- Functional Performance [Time frame: Baseline and after 6 weeks.]
- Cost-effectiveness [Time frame: After completion of the 6-week intervention.]
- Lumbar Range of Motion [Time frame: Baseline and after 6 weeks.]
Eligibility criteria
Inclusion criteria
- Adults aged 18-45 years.
- Male or female participants.
- Clinical diagnosis of low back dysfunction by a physiotherapist or physician.
- Symptoms lasting more than 3 months.
- Ability to participate in physical therapy or use AI-based rehabilitation tools.
- Willingness to comply with the study protocol and provide written informed consent.
Exclusion criteria
- Recent spinal injury or spinal surgery.
- Previous spinal surgery within the last 6 months.
- Severe neurological disorders (e.g., multiple sclerosis or Parkinson's disease).
- Chronic conditions that significantly limit mobility (e.g., advanced arthritis).
- Current use of strong opioid analgesics.
- Severe psychiatric disorders.
- Inability to use or access the required technology for the AI intervention.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Open label
- Primary purpose
- Treatment
Study locations
Egypt · 1 center
- Faculty of Physical Therapy, Cairo University — Cairo
Identifiers
NCT: NCT07749833 · AI-LBD-20260803-1995-DA