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JOURNAL OF MECHANICAL ENGINEERING  > 2021  >  12(5): 736-741.
WU Jun, FEI Sijia, SHEN Bo, ZHANG Hanwen, HUANG Jianfeng, PAN Qi, ZHAO Jianchun, DING Dayong. Artificial Intelligence Analysis of Nerve Fibers Based on Corneal Confocal Microscopy[J]. JOURNAL OF MECHANICAL ENGINEERING, 2021, 12(5): 736-741. doi: 10.12290/xhyxzz.2021-0510
Citation: WU Jun, FEI Sijia, SHEN Bo, ZHANG Hanwen, HUANG Jianfeng, PAN Qi, ZHAO Jianchun, DING Dayong. Artificial Intelligence Analysis of Nerve Fibers Based on Corneal Confocal Microscopy[J]. JOURNAL OF MECHANICAL ENGINEERING, 2021, 12(5): 736-741. doi: 10.12290/xhyxzz.2021-0510
shu

Artificial Intelligence Analysis of Nerve Fibers Based on Corneal Confocal Microscopy

doi: 10.12290/xhyxzz.2021-0510
Funds:

China National Key R & D Program 2020YFC2009006

China National Key R & D Program 2020YFC2009000

Natural Science Basic Research Plan in Shaanxi Province of China 2020JM-129

Seed Foundation of Innovation and Creation for Postgraduate Students in Northwestern Polytechnical University CX2020162

National Innovation and Entrepreneurship Training Program for College Students S202010699207

National Innovation and Entrepreneurship Training Program for College Students S202010699630

More Information
  • Corresponding author: PAN Qi   Tel: 86-10-85138663, E-mail: panqi621@126.com
  • Received Date: 02 Jul 2021
  • Accepted Date: 29 Jul 2021
    • Available Online: 26 Nov 2021
  • Publish Date: 22 Sep 2021
  • Issue Publish Date: 30 Sep 2021
    Abstract
  • Diabetic peripheral neuropathy (DPN) is one of the most common chronic complications of diabetes. Traditional DPN diagnostic methods are based on clinical symptoms and signs as well as electrophysiological examination, which are mainly used to detect the lesions of large nerve fibers. However, the small nerve fibers are the earliest ones damaged in DPN. Corneal confocal microscopy (CCM) can analyze the changes of corneal nerve fibers under a high power microscope. It is a rapid, repeatable and quantitative noninvasive technique to measure small nerve fibers. It can diagnose DPN early and evaluate neuromorphological changes prospectively. It has a good application expectation. During this article, we summarized the role and limitations of DPN's most reliable parameters of corneal nerve in evaluating diabetic autonomic neuropathy and diabetic micro-vascular complications. Further, we reviewed the clinical application of CCM in evaluating diabetic neuropathy and analysis methods of CCM related artificial intelligence, in order to provide references for clinical diagnosis and treatment.

     

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