Knee Osteoarthritis
Conditions
Brief summary
This study aims to compare the effectiveness of an artificial intelligence (AI)-guided physical therapy program with a traditional physical therapy program in patients with knee osteoarthritis. Forty patients with knee osteoarthritis will be randomly assigned to one of two groups. The traditional physical therapy group will receive a conventional rehabilitation program including transcutaneous electrical nerve stimulation (TENS), strengthening, flexibility, and balance exercises. The AI-guided group will receive an individualized rehabilitation program generated using ChatGPT-4 based on standardized patient information and clinical assessment findings. Both groups will receive education regarding lifestyle modification and joint protection strategies. The effects of the two rehabilitation approaches will be evaluated by measuring pain intensity, knee range of motion, knee-related functional ability, and functional mobility and fall risk before and after the intervention. The study will determine whether an AI-guided physical therapy program can provide outcomes comparable or superior to those of traditional physical therapy in individuals with knee osteoarthritis.
Detailed description
This study is a prospective, single-blind, randomized controlled trial designed to compare the efficacy of an AI-guided physical therapy program with a traditional physical therapy program in patients with knee osteoarthritis. A total of 40 patients with knee osteoarthritis will be recruited from the Outpatient Clinic of the Faculty of Physical Therapy, Cairo University. Eligible participants will be aged 45-70 years and diagnosed with knee osteoarthritis according to the American College of Rheumatology criteria, with Kellgren-Lawrence grade II or III osteoarthritis. Participants will be randomly allocated into two equal groups. The control group will receive a conventional physical therapy program consisting of transcutaneous electrical nerve stimulation (TENS), strengthening exercises, flexibility exercises, and balance exercises. Treatment will be provided three times per week for 12 weeks. The AI-guided group will receive an individualized rehabilitation program generated using ChatGPT-4. Standardized patient information, including age, sex, pain intensity, functional disability, knee range of motion, symptom duration, and physical activity level, will be entered by the researcher to generate an evidence-based rehabilitation program for each participant. Both groups will also receive education regarding lifestyle modification and joint protection strategies. Outcome measures will be assessed before and after the intervention. Pain intensity will be evaluated using the Visual Analog Scale (VAS), knee range of motion using a digital goniometer, knee-related pain, stiffness, and physical function using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and functional mobility and fall risk using the Timed Up and Go (TUG) test. The study will compare changes in these outcomes between the two groups to determine the relative efficacy of AI-guided and traditional physical therapy programs for patients with knee osteoarthritis.
Interventions
OTHERAI-Guided Physical Therapy Program
Participants will receive an individualized physical therapy program generated using ChatGPT-4. The researcher will manually enter standardized patient data, including age, sex, pain intensity (VAS), functional disability (WOMAC), knee range of motion, symptom duration, and physical activity level. ChatGPT-4 will be prompted to generate an evidence-based, in-clinic rehabilitation program for adults with knee osteoarthritis.
OTHERTraditional Physical Therapy Program
Participants will receive a traditional physical therapy program including transcutaneous electrical nerve stimulation (TENS), strengthening exercises, flexibility exercises, and balance exercises. The intervention will be administered three sessions per week for 12 weeks.
BEHAVIORALLifestyle Modification and Joint Protection Education
Participants in both study arms will receive education on lifestyle modification and joint protection strategies as part of the management of knee osteoarthritis.
Sponsors
Cairo University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Age
45 Years to 70 Years
Healthy volunteers
No
Inclusion criteria
* Participants will be recruited through outpatient orthopedic clinics and community health centers affiliated with the study sites. * Their age will be ranged from 45-70 years. * Their body mass index (BMI) will be ranged from 24.9 to 30 kg /m2 . * With a clinical and radiographic diagnosis of knee osteoarthritis based on American College of Rheumatology criteria, with Kellgren-Lawrence grade II or III osteoarthritis, and who will able to ambulate * Independently walk without assistive devices.
Exclusion criteria
* Prior knee replacement surgery, inflammatory arthritis (e.g., rheumatoid arthritis). * Recent intra-articular steroid injections within three months. * Neurologic impairments affecting lower limb function. * Inability to comprehend or use the mobile application due to cognitive or sensory impairments.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Pain Intensity | 12 weeks | Pain intensity will be assessed using the Visual Analog Scale (VAS), a 10-cm scale ranging from 0 (no pain) to 10 (worst pain imaginable). Lower scores indicate less pain. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Knee Range of Motion | 12 weeks | Active knee range of motion will be measured in degrees using a digital goniometer. Knee flexion and extension will be assessed before and after the intervention. |
| Knee Pain, Stiffness, and Physical Function | 12 weeks | Knee-related pain, stiffness, and physical function will be assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). The questionnaire includes 24 items covering pain, stiffness, and physical function. Higher scores indicate greater symptom severity and functional limitation. |
| Functional Mobility and Fall Risk | 12 weeks | Functional mobility and fall risk will be assessed using the Timed Up and Go (TUG) test. Participants will stand from a chair, walk 3 meters, turn, return to the chair, and sit down. The time required to complete the task will be recorded in seconds; longer times indicate poorer functional mobility and greater fall risk. |
Countries
Egypt
Contacts
CONTACTMarina Hosny Raghep, B.Sc
CONTACTRania Reda Mohamed, PhD
STUDY_CHAIRMohsen El Sayyed, PhD
Professor, Cairo University
STUDY_DIRECTORRania Reda Mohamed, PhD
Assistant Professor, Cairo University
STUDY_DIRECTORAli Al- Zawahri, PhD
Professor, Cairo University
Outcome results
None listed