Efficacy of AI-Driven and Traditional Physical Therapy Programs in Patients With Knee Osteoarthritis

Sponsor
Cairo University
Study ID
NCT07774195
Status
Not Yet Recruiting

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Conditions

Eligibility Criteria

Sex
ALL
Age
45 Years - 70 Years
Healthy Volunteers
Not accepted

Interventions

  • AI-Guided Physical Therapy Program — OTHER
    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.
  • Traditional Physical Therapy Program — OTHER
    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.
  • Lifestyle Modification and Joint Protection Education — BEHAVIORAL
    Participants in both study arms will receive education on lifestyle modification and joint protection strategies as part of the management of knee osteoarthritis.

Study Details

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.

Key Dates

First listed
Aug 19, 2026
Start date
Aug 21, 2026
Status verified
Aug 2026
Primary completion
Nov 21, 2026
Completion
Nov 30, 2026

Study Design

Enrollment
40 participants (estimated)
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT

Arms

  • Experimental: AI-Guided Physical Therapy Program + Lifestyle modification and joint protection strategies
    Participants in this arm will receive an individualized AI-guided 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 then generate an evidence-based, in-clinic rehabilitation program for knee osteoarthritis. Participants will also receive education on lifestyle modification and joint protection strategies.
  • Active Comparator: Traditional Physical Therapy Program + Lifestyle modification and joint protection strategies
    Participants in this arm will receive a conventional physical therapy program consisting of transcutaneous electrical nerve stimulation (TENS), strengthening exercises, flexibility exercises, and balance exercises. The program will be delivered three times per week for 12 weeks. Participants will also receive education on lifestyle modification and joint protection strategies.

Primary Outcome Measure

Pain Intensity [ Time Frame: 12 weeks ]

Central Contacts

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