Application progress of artificial intelligence in keratoconus
10.3980/j.issn.1672-5123.2024.7.13
- VernacularTitle:人工智能在圆锥角膜中的应用研究进展
- Author:
Yu ZHOU
1
,
2
;
Qingyan ZENG
1
,
2
Author Information
1. Eye Center, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China
2. Department of Ocular Surface, Aier Eye Hospital Affiliated to Wuhan University, Wuhan 430060, Hubei Province, China
- Publication Type:Journal Article
- Keywords:
keratoconus;
artificial intelligence;
machine learning;
deep learning
- From:
International Eye Science
2024;24(7):1078-1083
- CountryChina
- Language:Chinese
-
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.
