Artificial Intelligence for Anterior Segment Diseases: A Review of Potential Developments and Clinical Applications

被引：7
作者：
Xu, Zhe [1 ]
Xu, Jia [1 ]
Shi, Ce [1 ]
Xu, Wen [1 ]
Jin, Xiuming [1 ]
Han, Wei [1 ]
Jin, Kai [1 ]
Grzybowski, Andrzej [2 ,3 ]
Yao, Ke [1 ]
机构：
[1] Zhejiang Univ, Affiliated Hosp 2, Sch Med, Eye Ctr, 88 Jiefang Rd, Hangzhou 310009, Zhejiang, Peoples R China
[2] Univ Warmia & Mazury, Dept Ophthalmol, Olsztyn, Poland
[3] Fdn Ophthalmol Dev, Inst Res Ophthalmol, Poznan, Poland
来源：
OPHTHALMOLOGY AND THERAPY | 2023年 / 12卷 / 03期
关键词：
Anterior segment; Artificial intelligence; Deep learning; Machine learning; Cataract; Cornea; Refractive surgery; Anterior chamber angle; Refractive error; KERATOCONUS DETECTION; REFRACTIVE SURGERY; GLOBAL PREVALENCE; NUCLEAR CATARACT; CHAMBER ANGLE; ACCURACY; FORMULA; DIAGNOSIS; KERATITIS; BLINDNESS;
D O I：
10.1007/s40123-023-00690-4
中图分类号：
R77 [眼科学];
学科分类号：
100212 ;
摘要：
Artificial intelligence (AI) technology is promising in the field of healthcare. With the developments of big data and image-based analysis, AI shows potential value in ophthalmology applications. Recently, machine learning and deep learning algorithms have made significant progress. Emerging evidence has demonstrated the capability of AI in the diagnosis and management of anterior segment diseases. In this review, we provide an overview of AI applications and potential future applications in anterior segment diseases, focusing on cornea, refractive surgery, cataract, anterior chamber angle detection, and refractive error prediction.
引用
收藏
页码：1439 / 1455
页数：17
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