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非侵入性慢性病风险分层工具来源于基于视网膜的深度学习和临床因素

Young Su Joo1,2, Tyler Hyungtaek Rim3,4,5, Hee Byung Koh1,6

  • 1Department of Internal Medicine, College of Medicine, Institute of Kidney Disease Research, Yonsei University, Seoul, Republic of Korea.

NPJ digital medicine
|June 17, 2023
PubMed
概括

一个新的深度学习模型使用视网膜图像来预测慢性病 (CKD) 风险. 雷蒂-CKD得分有效地识别高风险个体,在功能保留的人中表现优于传统的eGFR方法.

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