Application progress of artificial intelligence in keratoconus
Author:
Corresponding Author:

Affiliation:

Clc Number:

Fund Project:

The Scientific Research Fund of Clinical Research Institute of Aier Eye Hospital Group(No.AR2204D1); Scientific Research Fund of Aier Eye Hospital Group(No.AF2204D04, AF2104D9)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Keratoconus is a blinding corneal disease that is particularly prevalent among adolescents. Early diagnosis and treatment can significantly reduce visual impairment in advanced stages and improve its prognosis. Based on machine learning and deep learning in keratoconus, Artificial intelligence(AI)mainly involves early screening and diagnosis, severity grading, progression prediction, and outcomes prediction. In this paper, the main applications and research progress of AI in keratoconus in recent years were summarized, and the challenges and future prospects in this field were discussed.

    Reference
    Related
    Cited by
Get Citation

Zhou Yu, Zeng Qingyan. Application progress of artificial intelligence in keratoconus. Guoji Yanke Zazhi( Int Eye Sci) 2024;24(7):1078-1083

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
Publication History
  • Received:September 26,2023
  • Revised:May 17,2024
  • Adopted:
  • Online: June 24,2024
  • Published: