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AI and ultrasound join forces to crack the code of low back pain

NCT ID NCT06818175

Recruiting now Knowledge-focused Sponsor: Edward Via Virginia College of Osteopathic Medicine Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study uses ultrasound imaging and machine learning to better understand low back pain by looking at the thoracolumbar fascia, a layer of tissue in the back. Researchers will compare images from people with acute pain, chronic pain, and no pain. Some participants with chronic pain will receive either a fluid injection (hydrodissection) or osteopathic manipulative treatment to see if these help. The goal is to develop better ways to diagnose and treat low back pain.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance
Hydrodissection (fluid injection) and Osteopathic Manipulative Treatment (OMT)
What this could lead to
If successful, this could lead to better diagnosis and new treatment options for chronic low back pain using ultrasound and machine learning.
What could go wrong
This is an early pilot study with small groups and no control for the treatment arms. The machine learning tools are still being developed, so results may not be conclusive.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Low Back Pain myofascial pain syndrome

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ACUTE LOW-BACK PAIN CHRONIC LOW-BACK PAIN LOW BACK PAIN

Contacts and locations

Study contacts

  • Contact

    Email: •••••@•••••

  • Contact

    Email: •••••@•••••

Locations

  • Edward Via College of Osteopathic Medicine

    RECRUITING

    Blacksburg, Virginia, 24060, United States

    Contact Email: •••••@•••••

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