Denne siden ble automatisk oversatt og nøyaktigheten av oversettelsen er ikke garantert. Vennligst referer til engelsk versjon for en kildetekst.

EFFICACY OF ARTIFICIAL INTELLIGENCE DRIVEN PROGRAM VERSUS TRADITIONAL PHYSICAL THERAPY PROGRAM IN PATIENTS WITH LOW BACK DYSFUNCTION (AI-LBD)

5. august 2026 oppdatert av: Dalia Ashraf Mohamed Youssef, Cairo University

Efficacy of an Artificial Intelligence-Driven Program Versus a Traditional Physical Therapy Program in Patients With Low Back Dysfunction

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.

Studieoversikt

Status

Har ikke rekruttert ennå

Forhold

Intervensjon / Behandling

Detaljert beskrivelse

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.

Studietype

Intervensjonell

Registrering (Antatt)

68

Fase

  • Ikke aktuelt

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiekontakt

Studiesteder

  • Egypt
    • Cairo Governorate
      • Cairo, Cairo Governorate, Egypt
        • Faculty of Physical Therapy, Cairo University

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

  • Voksen

Tar imot friske frivillige

Nei

Beskrivelse

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.

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

  • Primært formål: Behandling
  • Tildeling: Randomisert
  • Intervensjonsmodell: Parallell tildeling
  • Masking: Ingen (Open Label)

Våpen og intervensjoner

Deltakergruppe / Arm
Intervensjon / Behandling
Eksperimentell: AI-Driven Rehabilitation
Participants will receive an artificial intelligence-driven rehabilitation program including personalized exercise prescription, progression, and monitoring according to the study protocol.
Annen: AI-Driven Rehabilitation Program
A personalized rehabilitation program guided by artificial intelligence, including individualized exercise prescription and progression.
Aktiv komparator: Traditional Physical Therapy
Participants will receive a standardized traditional physical therapy rehabilitation program according to the study protocol.
Annen: Traditional Physical Therapy Program
A conventional physical therapy rehabilitation program delivered according to the study protocol

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Pain Intensity
Tidsramme: Baseline and immediately post intervention 6 weeks of treatment.
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.

Sekundære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Functional Performance
Tidsramme: Baseline and after 6 weeks.
Functional performance measured using the Back Performance Scale (BPS). The total score ranges from 0 to 15, with higher scores indicating greater functional limitation.
Baseline and after 6 weeks.
Cost-effectiveness
Tidsramme: After completion of the 6-week intervention.
Cost-effectiveness assessed using the Incremental Cost-Effectiveness Ratio (ICER), based on total costs and clinical effectiveness of the AI-driven and traditional physical therapy programs,including direct medical costs, intervention-related costs, and healthcare utilization costs.
After completion of the 6-week intervention.
Lumbar Range of Motion
Tidsramme: Baseline and after 6 weeks.
Lumbar range of motion assessed using the Back Range of Motion (BROM II) device measuring lumbar flexion, extension, lateral flexion, and rotation.
Baseline and after 6 weeks.

Samarbeidspartnere og etterforskere

Det er her du vil finne personer og organisasjoner som er involvert i denne studien.

Sponsor

Cairo University

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Antatt)

1. august 2026

Primær fullføring (Antatt)

1. desember 2026

Studiet fullført (Antatt)

1. januar 2027

Datoer for studieregistrering

Først innsendt

3. august 2026

Først innsendt som oppfylte QC-kriteriene

3. august 2026

Først lagt ut (Faktiske)

6. august 2026

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

7. august 2026

Siste oppdatering sendt inn som oppfylte QC-kriteriene

5. august 2026

Sist bekreftet

1. august 2026

Mer informasjon

Begreper knyttet til denne studien

Nøkkelord

Ytterligere relevante MeSH-vilkår

Andre studie-ID-numre

  • AI-LBD-20260803-1995-DA

Plan for individuelle deltakerdata (IPD)

Planlegger du å dele individuelle deltakerdata (IPD)?

NEI

IPD-planbeskrivelse

Individual participant data will not be publicly shared to protect participant confidentiality and privacy.

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Nei

Studerer et amerikansk FDA-regulert enhetsprodukt

Nei

Denne informasjonen ble hentet direkte fra nettstedet clinicaltrials.gov uten noen endringer. Hvis du har noen forespørsler om å endre, fjerne eller oppdatere studiedetaljene dine, vennligst kontakt register@clinicaltrials.gov. Så snart en endring er implementert på clinicaltrials.gov, vil denne også bli oppdatert automatisk på nettstedet vårt. .

Abonnere