2023
DOI: 10.1007/s00417-023-06101-5
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Insights into artificial intelligence in myopia management: from a data perspective

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Cited by 6 publications
(2 citation statements)
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“…Compared to previous study, the fully self-service fundus camera used in our study, while compromising a degree of convenience, can achieve high-quality images similar to those captured by ophthalmologist-operated fundus cameras. The quality of retinal images directly affects the accuracy of interpretation results, especially within the realm of AI-assisted diagnostic models [ 33 , 34 ]. Moreover, this approach inherently possesses a standardized photography process, thereby providing a high-quality standardized data basis for relevant AI research.…”
Section: Discussionmentioning
confidence: 99%
“…Compared to previous study, the fully self-service fundus camera used in our study, while compromising a degree of convenience, can achieve high-quality images similar to those captured by ophthalmologist-operated fundus cameras. The quality of retinal images directly affects the accuracy of interpretation results, especially within the realm of AI-assisted diagnostic models [ 33 , 34 ]. Moreover, this approach inherently possesses a standardized photography process, thereby providing a high-quality standardized data basis for relevant AI research.…”
Section: Discussionmentioning
confidence: 99%
“…Sociologists believe that by 2025, there will be approximately 50 million myopic people in the world [3]. In East Asia, Singapore, Africa, Taiwan and South Korea, myopia has reached epidemic proportions, with nearly 90 % of 18-year-olds being myopic [4][5][6][7]. In Western Europe, this indicator varies from 40 to 50 % in adolescents and 10 % in children [8,9].…”
Section: Introductionmentioning
confidence: 99%