Predicting Postoperative Spinal Epidural Hematoma with an AI-Driven Model
Official title: Establishment of Artificial Intelligence Algorithms Based Clinical Prediction Model for Patients With Postoperative Symptomatic Spinal Epidural Hematoma After Spinal Surgery
Run by Peking University Third Hospital · NCT06633848 · Data updated 2026-11-12
A large set of spinal surgery patients is used to train and then test an AI-based model to see if it can predict who will develop a postoperative symptomatic spinal epidural hematoma.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 2000 (estimated) |
| Sponsor | Peking University Third Hospital Academic / other |
| Locations | 1 site (Beijing, Haidian) |
| Status | Recruiting |
| Started | January 1, 2025 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | October 22, 2026 |
| Trial ID | NCT06633848 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults undergoing spinal surgery at Peking University Third Hospital between 2025 and 2026.
✕Probably not a fit
Patients whose data do not exhibit predictors of PSSEH or whose risk is already well understood may gain little or no benefit from the model.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study builds a prediction model using AI algorithms trained on 2,000 retrospective cases from Peking University Third Hospital. The model will be validated prospectively with another 2,000 spinal surgery patients recruited between 2025 and 2026. Researchers will compare multiple algorithms, use cross-validation to quantify robustness, and apply SHAP or similar methods to identify important features. The aim is to see if the model can accurately forecast PSSEH and uncover novel risk factors. The study does not involve an intervention beyond standard surgical care and data analysis.
Why it matters
Potential benefit: If successful, the model could help clinicians identify high-risk patients and inform monitoring and preventive strategies after spinal surgery.
How similar studies have gone: Previous work has explored AI in predicting post-surgical complications, with mixed but encouraging results for risk prediction models.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * patients who will receive spinal surgery from January 2025 to December 2026 at Peking University Third Hospital Exclusion Criteria: * patients with a history of lumbar trauma before admission; * patients who suffer from malignant tumor; * patients with systemic infection; * patients who quit the study midway
Where it's running
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Orthopaedic Department of Peking University Third Hospital
Beijing, Haidian, China Recruiting
Study contacts
- Study coordinator: Orthopedics Department of Peking University Third Hospital
- Email: 2411210441@pku.edu.cn
- Phone: 008618811597977
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.