AI reads knee ultrasounds to predict injection success

NCT ID NCT07721116

First seen Jul 22, 2026 · Last updated Jul 23, 2026 · Updated 1 time

Summary

This study is developing an artificial intelligence platform to analyze knee ultrasound images and predict outcomes after ultrasound-guided injections for degenerative knee disorders like osteoarthritis. Researchers will first train the AI to identify normal and abnormal knee structures, then test whether it can forecast which patients experience meaningful pain relief and functional improvement. The goal is to make knee ultrasound interpretation more consistent and help guide treatment decisions.

What this could mean

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

Active substance
artificial intelligence-assisted analysis of knee ultrasound images
What this could lead to
If successful, this AI tool could help doctors predict which patients with knee arthritis will get the most benefit from ultrasound-guided injections, making treatment more personalized.
What could go wrong
This is an early-stage study focused on developing and testing the AI model, not a treatment trial. The AI may not perform well enough in real-world settings, and results may not apply to all patients.

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

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for ARTIFICIAL INTELLIGENCE are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

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: •••••@•••••

Locations

  • National Taiwan University Hospital Beihu Branch

    RECRUITING

    Taipei, Taiwan, 108206, Taiwan

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

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

More trials for these conditions

Other studies related to the condition(s) this trial covers.