The goal of this study is to investigate the effect of AI integration into clinical physical therapy clinical decision in improving cost effectiveness and clinical outcomes purposes of the study are: 1. Compare the effectiveness of AI driven and human driven clinical decision in physical therapy clinical practice on management of pain in myofascial pain syndrome. 2. Compare the effectiveness of AI driven and human driven clinical decision in physical therapy clinical practice on improving joint range of motion limitations in myofascial pain syndrome. 3. Compare the effectiveness of AI driven and human driven clinical decision in physical therapy clinical practice on improving muscle strength in myofascial pain syndrome. 4. Compare the effectiveness of AI driven and human driven clinical decision in physical therapy clinical practice on management of functional limitation in myofascial pain syndrome. 5. Compare the effectiveness of AI driven and human driven clinical decision in physical therapy clinical practice on cost-effectiveness in physical therapy management of myofascial pain syndrome.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Pain Intensity changing
Timeframe: AI Group:12 sessions (1 every 3 days) Measures: Pre-1st, 4th,7th, 10th & post-12th session. Traditional Group:10 sessions/2weeks (5 daily, 2 days off, 5 daily)Measures: Pre-1st,4th,7th,10th & 2 days post-10th session