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Updated: Jan 24, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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使用机器学习模型预测破裂牙与可逆牙的脉后续病例

Siwen Wu1, Tudor Dascalu2, Rachel Fangying Seet1

  • 1National Dental Centre Singapore, 5 Second Hospital Avenue, Singapore, 168938, Singapore.

Journal of endodontics
|January 22, 2026
PubMed
概括

机器学习模型可以预测具有可逆性脉的破裂牙中的脉存活率,帮助牙医决定是否需要根管治疗 (RCT). 老年患者和已有恢复的患者不太可能需要RCT.

关键词:
临床决策支持 临床决策支持破裂的牙 破裂的牙牙周内诊断诊断 牙周内诊断预测建模 预测建模可以逆转的脉炎.

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