AI predicts who may die after hip fracture surgery
NCT ID NCT07495527
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This completed study used artificial intelligence to predict the risk of death within 30 days and 1 year after hip fracture surgery. Researchers analyzed data from 1000 patients, including age, health conditions, and lab results. The goal was to see if AI could better identify high-risk patients than traditional methods.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this AI model could help doctors better identify high-risk patients after hip fracture surgery, potentially improving care and outcomes.
- What could go wrong
- This is a retrospective study using existing data, so the AI may not work as well in real-world settings. It only predicts risk, not prevents death.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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1,000 people
The number who actually took part.
- Started
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Dec 2025
- Finished
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Mar 2026
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
This study population consists of adult patients who underwent surgical treatment for hip fractures at a tertiary care oncology training and research hospital between January 1, 2022 and December 1, 2025. The cohort is derived retrospectively from electronic health records and includes approximately 1000 patients. The population includes individuals with varying demographic characteristics, comorbidities, and perioperative risk profiles. Clinical data encompass demographic information, baseline functional and cognitive status, comorbid conditions, laboratory parameters, intraoperative variables, and postoperative complications. Patients with malignancy and those undergoing revision surgery are excluded. The study population represents a real-world clinical cohort used to develop and validate an artificial intelligence-based model for predicting 30-day postoperative mortality following hip fracture surgery.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: Patients who underwent surgical treatment for hip fracture between January 1, 2022 and December 1, 2025 Age ≥18 years Availability of complete demographic, clinical, and laboratory data in the electronic health record system Documented 30-day follow-up or mortality status Exclusion Criteria: Patients with malignancy Patients undergoing revision hip surgery Patients with missing or incomplete key clinical or laboratory data required for analysis Patients with unavailable or undocumented 30-day mortality status
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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
Locations
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Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital
Ankara, 06200, Turkey (Türkiye)