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.
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
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.