医学
逻辑回归
疾病
决策树
人工智能
机器学习
脊柱疾病
内科学
外科
计算机科学
腰椎
作者
Yunpeng Cui,Xuedong Shi,Qiwei Wang,Yong Qin,Xiongwei Zhao,Xiaotong Che,Shengjie Wang,Yuanxing Pan,Bing Wang,Yuncen Cao,Yaosheng Liu,Mingxing Lei
标识
DOI:10.1097/js9.0000000000002806
摘要
This study develops and validates an AI tool with strong predictive performance in identifying patients at a high risk for SSI. By facilitating personalized treatment based on risk classification, this advancement has the potential to significantly enhance surgical care for patients with metastatic spinal disease. Future research should focus on integrating this predictive tool into clinical practice and exploring its applicability across diverse patient populations.
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