ReviewSao Paulo medical journal = Revista paulista de medicina2025
The use of artificial intelligence to identify ophthalmic biomarkers in cardiovascular disease and stroke: a narrative review.
Review in Sao Paulo medical journal = Revista paulista de medicina, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCardiovascular disease (CVD) and stroke are among the leading causes of death worldwide.
objectiveThis article presents a review of the application of artificial intelligence in identifying biomarkers for CVD and stroke. DESIGN AND
settingNarrative review conducted by a research group at the Universidade Federal de São Paulo, São Paulo, Brazil.
methodsA literature search was conducted to identify the main applications of artificial intelligence in ophthalmology, using the keywords "artificial intelligence," "prediction," "biomarker," "cardiovascular disease," "retina," and "stroke," covering the period from January 1, 2018, to July 3, 2023. The Medical Literature Analysis and Retrieval System Online (MEDLINE, via PubMed) and the Latin American and Caribbean Literature in Health Sciences (Literatura Latino-Americana e do Caribe em Ciências da Saúde, LILACS, via the Virtual Health Library) were used to identify relevant articles.
resultsA total of 30 references were retrieved, of which 14 were considered eligible for intensive review and critical analysis.
conclusionsArtificial intelligence has proven effective in identifying non-invasive biomarkers through the analysis of patients' retinal examinations. These findings contribute to a better understanding of the pathophysiology of CVD and stroke.
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Registered trials
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