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EFFICACY OF ARTIFICIAL INTELLIGENCE DRIVEN PROGRAM VERSUS TRADITIONAL PHYSICAL THERAPY PROGRAM IN PATIENTS WITH LOW BACK DYSFUNCTION

NCT07749833 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 68

Last updated 2026-08-07

No results posted yet for this study

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

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

Sponsors & Collaborators

  • Cairo University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
45 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-08-31
Primary Completion
2026-12-31
Completion
2027-01-31

Countries

  • Egypt

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07749833 on ClinicalTrials.gov