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Validation of an Automated Early Treatment Diabetic Retinopathy Study Low-contrast Letter Acuity Test
Author(s) -
Yi Pang,
Lauren Sparschu,
Elyse Nylin,
Jingyun Wang
Publication year - 2020
Publication title -
optometry and vision science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 97
eISSN - 1538-9235
pISSN - 1040-5488
DOI - 10.1097/opx.0000000000001506
Subject(s) - repeatability , visual acuity , optometry , medicine , contrast (vision) , chart , ophthalmology , vision test , test (biology) , luminance , artificial intelligence , mathematics , computer science , statistics , paleontology , biology
Automated low-contrast letter acuity (LCLA) has several advantages: consistent luminance, reduced chance of individuals memorizing test letters, and convenient and accurate visual acuity reporting functions. Although automated LCLA might report slightly worse acuity than Sloan LCLA chart, considering its advantages, it may be a viable alternative to Sloan LCLA chart in clinical practice and research.

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