A Siamese ResNeXt network for predicting carotid intimal thickness of patients with T2DM from fundus images.

Journal: Frontiers in endocrinology
PMID: 38549767

Abstract

OBJECTIVE: To develop and validate an artificial intelligence diagnostic model based on fundus images for predicting Carotid Intima-Media Thickness (CIMT) in individuals with Type 2 Diabetes Mellitus (T2DM).

Authors

  • AJuan Gong
    Department of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Wanjin Fu
    Department of Clinical Pharmacology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Heng Li
    Department of Anesthesiology, Affiliated Nanhua Hospital, University of South China, Hengyang 421002, Hunan Province, China.
  • Na Guo
    Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, 150040 Harbin, China. guona_910817@163.com.
  • Tianrong Pan
    Department of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.

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