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Validating a Machine Learning-Based Approach to Prevent Surgical Site Infections After Brain and Spinal Tumor Surgery A Prospective Study at a Single Medical Center
Led by Ming Yang · Updated on 2026-01-30
500
Participants Needed
1
Research Sites
N/A
Total Duration
AI-Summary
What this Trial Is About
Researchers are evaluating a machine learning-based approach to reduce surgical site infections SSI in patients undergoing brain or spinal tumor surgery. This study aims to validate whether using an intelligent prediction model to identify high-risk patients and applying tailored preventive measures can lower infection rates. It also assesses safety, hospital stay length, medical costs, and the models practical feasibility. The study is a prospective, single-center clinical validation conducted at the Chinese Academy of Medical Sciences Cancer Hospital.
CONDITIONS
Brief Title
A Clinical Prediction Model for Surgical Site Infection After Central Nervous System Tumor Surgery
Research Team
M
Ming Yang, MD
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