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Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images

Research article (British Journal of Ophthalmology, 2020) · cited 49× · AI/ML
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Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images

Summary

Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images is a scholarly article[1].

Key Facts

  • Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images. Retrieved May 24, 2026, from https://4ort.xyz/entity/diagnostic-accuracy-of-diabetic-retinopathy-grading-by-an-artificial-intelligence-enabled-algorithm-compared-with-a-huma
MLA “Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diagnostic-accuracy-of-diabetic-retinopathy-grading-by-an-artificial-intelligence-enabled-algorithm-compared-with-a-huma.
BibTeX @misc{4ortxyz_diagnostic-accuracy-of-diabetic-retinopathy-grading-by-an-artificial-intelligence-enabled-algorithm-compared-with-a-huma_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images}}, year = {2026}, url = {https://4ort.xyz/entity/diagnostic-accuracy-of-diabetic-retinopathy-grading-by-an-artificial-intelligence-enabled-algorithm-compared-with-a-huma}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images — https://4ort.xyz/entity/diagnostic-accuracy-of-diabetic-retinopathy-grading-by-an-artificial-intelligence-enabled-algorithm-compared-with-a-huma (retrieved 2026-05-24)

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