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

NCT ID NCT06818175

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.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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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.

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Edward Via College of Osteopathic Medicine

    RECRUITING

    Blacksburg, Virginia, 24060, United States

    Contact

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact