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Updated: Feb 2, 2026

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双图注意网络用于预测2型糖尿病患者的非酒精性脂肪肝疾病

Tianbin Chen1, Yongbin Zeng1, Jinlin Wang1

  • 1Department of Laboratory Medicine, Gene Diagnosis Research Center, the First Affiliated Hospital of Fujian Medical University, Fuzhou, China; Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Fujian Key Laboratory of Laboratory Medicine, the First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Artificial intelligence in medicine
|January 31, 2026
PubMed
概括

一个新的双图注意网络 (DGAN) 有助于诊断2型糖尿病 (T2DM) 患者的非酒精性脂肪性肝病 (NAFLD). 这种人工智能模型在T2DM个体的早期NAFLD检测中显示出卓越的精度.

关键词:
深度学习是一种深度学习.图表注意力神经网络的神经网络.非酒精性脂肪性肝病是非酒精性脂肪性肝病.2型糖尿病是什么? 2型糖尿病是什么

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