基于超声成像数据的深度学习和临床特征集成的预测模型,用于8个月以下儿童的静脉切割手术

Yu-Feng Qian1, Jin-Jin Zhou2, San-Li Shi3

  • 1Radiology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.

BMJ open
|August 22, 2025
PubMed
概括

一个结合深度学习 (DL) 和临床特征的新组合模型准确地预测了婴儿静脉切割的外科干预. 这种方法有望改善儿科患者的治疗策略.

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