Deep learning-based automated tool for diagnosing diabetic peripheral neuropathy.

Journal: Digital health
Published Date: Dec 25, 2024

Abstract

BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common complication of diabetes, and its early identification is crucial for improving patient outcomes. Corneal confocal microscopy (CCM) can non-invasively detect changes in corneal nerve fibers (CNFs), making it a potential tool for the early diagnosis of DPN. However, the existing CNF analysis methods have certain limitations, highlighting the need to develop a reliable automated analysis tool.

Authors

  • Qincheng Qiao
    Department of Endocrinology and Metabolism, Qilu Hospital, Shandong University, Jinan, China.
  • Juan Cao
    Department of Endocrinology and Metabolism, Qilu Hospital, Shandong University, Jinan, China.
  • Wen Xue
    Department of Endocrinology and Metabolism, Qilu Hospital, Shandong University, Jinan, China.
  • Jin Qian
    School of Software, Shandong University, Jinan, China.
  • Chuan Wang
    Department of Endocrinology and Metabolism, Qilu Hospital, Shandong University, Jinan, China.
  • Qi Pan
    Department of Endocrinology, Beijing Hospital, Beijing, China.
  • Bin Lu
    Department of Endocrinology and Metabolism, Huadong Hospital, Fudan University, Shanghai, China.
  • Qian Xiong
    Department of Endocrinology and Metabolism, Gonghui Hospital, Shanghai, China.
  • Li Chen
    Department of Endocrinology and Metabolism, Qilu Hospital, Shandong University, Jinan, China.
  • Xinguo Hou
    Department of Endocrinology and Metabolism, Qilu Hospital, Shandong University, Jinan, China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals