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

Condition(s) studied

Investigational drug(s) / intervention(s)

AI-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.

Traditional 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.

Lifestyle 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.

Study 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.

Eligibility

Primary outcome measure(s)

• 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.

Trial sites (1)

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