AI-Assisted Screening for Diabetic Retinopathy and Fundus Abnormalities in a Large-Scale Physical Examination Population Article Swipe

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Xiaoying Liang , Yong Bao , Yue Du , N. Kong ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.2147/opth.s538020

AI-assisted screening offers an effective, scalable approach for early DR detection and can also identify systemic diseases with retinal manifestations. Integration of AI with big data platforms enables timely intervention, especially in underserved areas. Building a multi-institutional DR data platform may revolutionize retinal disease management and improve patient outcomes. This study supports the clinical application of AI in enhancing diagnostic efficiency and targeting high-risk populations for early intervention.

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Medicine Fundus (uterus) Ophthalmology Diabetic retinopathy Optometry Fundus camera Population Diabetes mellitus Ophthalmoscopy Retinal Endocrinology Environmental health

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Type: article
Language: en
Landing Page: https://doi.org/10.2147/opth.s538020
PDF: https://www.dovepress.com/article/download/106050
OA Status: gold
References: 34
Related Works: 10
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OpenAlex ID: https://openalex.org/W4413397865

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DOI: https://doi.org/10.2147/opth.s538020

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Title: AI-Assisted Screening for Diabetic Retinopathy and Fundus Abnormalities in a Large-Scale Physical Examination Population

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-08-01

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Authors: Xiaoying Liang, Yong Bao, Yue Du, N. Kong

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Landing page: https://doi.org/10.2147/opth.s538020

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Concepts: Medicine, Fundus (uterus), Ophthalmology, Diabetic retinopathy, Optometry, Fundus camera, Population, Diabetes mellitus, Ophthalmoscopy, Retinal, Endocrinology, Environmental health

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Cited by: 0

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References (count): 34

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abstract_inverted_index.can	12
abstract_inverted_index.for	7, 65
abstract_inverted_index.may	40
abstract_inverted_index.the	52
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abstract_inverted_index.patient	47
abstract_inverted_index.retinal	18, 42
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abstract_inverted_index.AI-assisted	0
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cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	4
citation_normalized_percentile.value	0.47968047
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False