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可解释的深度学习模型用于CT上的儿科窒息小肠阻塞:一个多中心研究

Na Chang1, Xin Liu2, Peng Liu3

  • 1Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People's Republic of China.

Journal of pediatric surgery
|March 13, 2026
PubMed
概括

一个新的深度学习模型使用CT扫描和临床数据准确地区分了儿童的窒息小肠阻塞 (StSBO) 和简单的SBO. 这种AI工具有助于医生,提高诊断准确性,以便及时管理StSBO.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.多式联络融合是多式联络的融合方式.儿科小肠阻塞 小肠阻塞这就是 SHAP SHAP 的意思.

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