Artificial Intelligence Clinical Decision

Starting soon · Not applicable

Conditions studied: Myofacial Pain Syndrome, Clinical Decision Support

In brief

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.

Key facts

Study ID

NCT07342790

Run by

Cairo University

People needed

70

Starts

2026-02-01

Expected to finish

2027-04-01

Last updated by the study team

2026-01-15

Who can join

Age: 18 and older, up to 65. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• A- Demographic: Adult individuals 18-65 both sex
• B- Pain Characteristics:
• Localized pain.
• Intensity: baseline pain score of 4 or higher on the VAS . C- Duration: chronic pain 3-6 months
• D- Prescence of Myofascial Trigger Points (MTrPs):
• E- Daily Functioning limitations: moderate or severe

You may not qualify if…

• • Severe cognitive impairment or illness.
• Recent history of major surgery or trauma (within 3 months).
• Other chronic conditions that could significantly interfere with the study.
• Patients with fibromyalgia which may have the Key Diagnostic Criteria for Fibromyalgia Syndrome:
• Widespread Pain Index (WPI) (appendix (2): Measures the number of painful areas across the body. A score of 7 or more indicates a higher likelihood of FMS (Wang et al. ,2025).
• Symptom Severity Scale (SSS) (appendix3): Assesses the severity of symptoms such as fatigue, sleep disturbances, and cognitive difficulties. A score of 5 or more is indicative of FMS

Where it is running

• Outpatient clinic, faculty of physical therapy, Cairo university — Giza, Egypt

Full record on ClinicalTrials.gov

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