Artificial Intelligence-Guided Rehabilitation for Low Back Dysfunction

NCT07749833 | Not Yet Recruiting

• 1 other identifier: AI-LBD-20260803-1995-DA
• Study Type: interventional
• Target: 68
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Low Back Pain; Low Back Dysfunction

Keywords

Artificial Intelligence; Low Back Dysfunction; Low Back Pain; Physical Therapy; Rehabilitation; Exercise Therapy; AI-Driven Rehabilitation; Musculoskeletal Rehabilitation; Randomized Controlled Trial; Personalized Rehabilitation

Outcome Measures

Primary Outcomes (1)

• Pain Intensity

  Pain intensity measured using the Visual Analogue Scale (VAS), a 10-cm self-reported pain scale ranging from 0 (no pain) to 10 (worst imaginable pain).

  Baseline and immediately post intervention 6 weeks of treatment.

Secondary Outcomes (3)

• Functional Performance

  Baseline and after 6 weeks.

• Cost-effectiveness

  After completion of the 6-week intervention.

• Lumbar Range of Motion

  Baseline and after 6 weeks.

Study Arms (2)

AI-Driven Rehabilitation

EXPERIMENTAL

Participants will receive an artificial intelligence-driven rehabilitation program including personalized exercise prescription, progression, and monitoring according to the study protocol.

Other: AI-Driven Rehabilitation Program

Traditional Physical Therapy

ACTIVE COMPARATOR

Participants will receive a standardized traditional physical therapy rehabilitation program according to the study protocol.

Other: Traditional Physical Therapy Program

Interventions

AI-Driven Rehabilitation Program OTHER

A personalized rehabilitation program guided by artificial intelligence, including individualized exercise prescription and progression.

AI-Driven Rehabilitation

Traditional Physical Therapy Program OTHER

A conventional physical therapy rehabilitation program delivered according to the study protocol

Traditional Physical Therapy

Eligibility Criteria

• Age: 18 Years - 45 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64)

You may qualify if:

• 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.

You may not qualify if:

• 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.

Sponsors & Collaborators

• Cairo University: lead

Study Sites (1)

Faculty of Physical Therapy, Cairo University

Cairo, Cairo Governorate, Egypt

Location

MeSH Terms

Conditions

Low Back Pain

Condition Hierarchy (Ancestors)

Back Pain; Pain; Neurologic Manifestations; Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Central Study Contacts

Dalia A Youssef, MSc, PT

CONTACT

+20 101 578 8109; Daliayoussef151023@gmail.com

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: TREATMENT
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Lecturer and PhD Candidate

Model Details: Participants will be randomly assigned to one of two parallel groups: an AI-driven rehabilitation program or a traditional physical therapy program.

Study Record Dates

• First Submitted: August 3, 2026
• First Posted: August 6, 2026
• Study Start: August 1, 2026
• Primary Completion (Estimated): December 1, 2026
• Study Completion (Estimated): January 1, 2027
• Last Updated: August 6, 2026

Record last verified: 2026-08

Data Sharing

• IPD Sharing: Will not share

Locations

EG (1)