AI takes aim at hip fracture surgery: could it beat the Surgeon's eye?
NCT ID NCT06937138
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study compares AI-assisted versus surgeon-planned screw placement in hip fracture surgery. About 334 adults with femoral neck fractures will be randomly assigned to one of two groups. The goal is to see if AI guidance leads to more accurate screw placement, shorter surgery time, fewer X-rays, and better recovery over 12 months.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-assisted screw path planning
- What this could lead to
- If successful, this could make hip fracture surgery more precise and efficient, potentially reducing complications and improving recovery.
- What could go wrong
- This is a relatively early-stage comparison; AI may not outperform experienced surgeons in all cases, and results may not apply to all hospitals or fracture types.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Union Hospital, Tongji Medical College, HUST - Jinyinghu International Hospital
RECRUITINGWuhan, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Union Hospital, Tongji Medical College, HUST - Main Campus
RECRUITINGWuhan, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Union Hospital, Tongji Medical College, HUST - Orthopedic Hospital
RECRUITINGWuhan, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Union Hospital, Tongji Medical College, HUST - West Campus
RECRUITINGWuhan, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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