AI takes the guesswork out of scoliosis surgery

NCT ID NCT07723053

First seen Jul 23, 2026 · Last updated Jul 24, 2026 · Updated 1 time

Summary

This trial tests whether a machine learning tool, called the Drum Tower Rule, can help surgeons select the lowest vertebra to fuse during corrective surgery for adolescent idiopathic scoliosis. About 300 teens with specific curve types will be randomly assigned to have surgery guided by the model or by standard surgeon experience. The goal is to see if the model reduces the chance of the spine curving again below the fused area within two years.

What this could mean

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

Active substance
a machine learning decision-support model called the Drum Tower Rule
What this could lead to
If successful, this approach could reduce the risk of spinal curve progression after scoliosis surgery, improving long-term outcomes for adolescents.
What could go wrong
The model is untested in real-time surgery, and its recommendations may not always outperform a surgeon's judgment. The trial is also limited to specific curve types.

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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

  • Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School

    Nanjing, Jiangsu, 210008, China

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

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