Efficacy of AI-Driven and Traditional Physical Therapy Programs in Patients With Knee Osteoarthritis
Efficacy of AI-Driven and Traditional Physical Therapy Programs in Patients With Knee Osteoarthritis
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.
Inclusion Criteria:
Exclusion Criteria:
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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.
Marinahosny2895@gmail.com+20 12 71739917