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Updated: Sep 16, 2025

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预测乳房重建中的并发症:机器学习模型的外部验证

Anne M Meyer1, Hyung Bae Kim2, Jin Sup Eom2

  • 1University of Kansas, Department of Plastic and Reconstructive Surgery, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
|July 9, 2025
PubMed
概括

一个机器学习模型准确地预测了乳头节省乳房切除术 (NSM) 后的乳头 - 乳房复合性亡在一个新的患者群体中. 这个工具可以帮助个性化风险评估考虑NSM与乳房重建的患者.

关键词:
直接对植入器进行重建.机器学习 机器学习在NAC的亡中.乳头节省乳房切除术并发症

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