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Comparison of low back pain management between artificial intelligence-based low back pain management application and conventional low back pain management in adults with low back pain

Comparison of low back pain management between artificial intelligence-based low back pain management application and conventional low back pain management in adults with low back pain

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CRIS
Registry ID
KCT0006316
Enrollment
100
Registered
2021-07-02
Start date
2021-07-01
Completion date
Unknown
Last updated
2021-07-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Others(application) : Control group: conventional 1:1 manual physical therapy, Experimental group: AI-based application therapy A total of 10 trials were performed for 2 weeks in both groups. In the c

Sponsors

Yonsei University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. LBP of any duration, who have sought care for their LBP within past 8 weeks from primary care (primary care defined as general practice, physical therapy, chiropractic serving or specialized outpatient hospital facility). 2. Mild to moderate disability due to LBP 3. Own and regularly use a smartphone with internet access 4. Low back pain for at least three months, a minimum pain score of three points on a 0 to 10 Visual Analogue Scale, and using a smartphone with an Android OS (since the application was programmed for android devices only).

Exclusion criteria

Exclusion criteria: 1. Unable to speak, read or understand the national language 2. Cognitive impairments or learning disabilities limiting participation 3. Serious mental illness 4. Physical illnesses or conditions limiting participation 5. Pregnancy 6. Previous back surgery

Design outcomes

Primary

MeasureTime frame
VAS (Visual Analog Scale), Range of motion, ODI (Oswestry Low Back Disability Questionnaire), FMS (Functional Movement Screen)

Secondary

MeasureTime frame
satisfaction, quality of life

Countries

Korea, Republic of

Contacts

Public ContactChanhee Park

Yonsei University

chaneesm@gmail.com+82-33-760-2957

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026