Novel Uses and Challenges of Artificial Intelligence in Diagnosing and Managing Eyes with High Myopia and Pathologic Myopia

被引:11
作者
Du, Ran [1 ]
Ohno-Matsui, Kyoko [1 ]
机构
[1] Tokyo Med & Dent Univ, Dept Ophthalmol & Visual Sci, Tokyo 1138510, Japan
关键词
diagnosis and management; high myopia; pathologic myopia; artificial intelligence; machine learning; deep learning; VISUAL IMPAIRMENT; AUTOMATED DETECTION; ADULT-POPULATION; LOW-VISION; POSTERIOR STAPHYLOMAS; DIABETIC-RETINOPATHY; PREVALENCE; BLINDNESS; IMAGES; MACULOPATHY;
D O I
10.3390/diagnostics12051210
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Myopia is a global health issue, and the prevalence of high myopia has increased significantly in the past five to six decades. The high incidence of myopia and its vision-threatening course emphasize the need for automated methods to screen for high myopia and its serious form, named pathologic myopia (PM). Artificial intelligence (AI)-based applications have been extensively applied in medicine, and these applications have focused on analyzing ophthalmic images to diagnose the disease and to determine prognosis from these images. However, unlike diseases that mainly show pathologic changes in the fundus, high myopia and PM generate even more data because both the ophthalmic information and morphological changes in the retina and choroid need to be analyzed. In this review, we present how AI techniques have been used to diagnose and manage high myopia, PM, and other ocular diseases and discuss the current capacity of AI in assisting in preventing high myopia.
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页数:14
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