Matches in SemOpenAlex for { <https://semopenalex.org/work/W4302303887> ?p ?o ?g. }
- W4302303887 abstract "Diabetic macular edema (DME) is one of the leading causes of visual impairment in diabetic retinopathy (DR). Physicians rely on optical coherence tomography (OCT) and baseline visual acuity (VA) to tailor therapeutic regimen. However, best-corrected visual acuity (BCVA) from chart-based examinations may not wholly reflect DME status. Chart-based examinations are subjected findings dependent on the patient's recognition functions and are often confounded by concurrent corneal, lens, retinal, optic nerve, or extraocular disorders. The ability to infer VA from objective optical coherence tomography (OCT) images provides the predicted VA from objective macular structures directly and a better understanding of diabetic macular health. Deviations from chart-based and artificial intelligence (AI) image-based VA will prompt physicians to assess other ocular abnormalities affecting the patients VA and whether pursuing anti-VEGF treatment will likely yield increment in VA.We enrolled a retrospective cohort of 251 DME patients from Big Data Center (BDC) of Taipei Veteran General Hospital (TVGH) from February 2011 and August 2019. A total of 3,920 OCT images, labeled as visually impaired or adequate according to baseline VA, were grouped into training (2,826), validation (779), and testing cohort (315). We applied confusion matrix and receiver operating characteristic (ROC) curve to evaluate the performance.We developed an OCT-based convolutional neuronal network (CNN) model that could classify two VA classes by the threshold of 0.50 (decimal notation) with an accuracy of 75.9%, a sensitivity of 78.9%, and an area under the ROC curve of 80.1% on the testing cohort.This study demonstrated the feasibility of inferring VA from routine objective retinal images.Serves as a pilot study to encourage further use of deep learning in deriving functional outcomes and secondary surrogate endpoints for retinal diseases." @default.
- W4302303887 created "2022-10-06" @default.
- W4302303887 creator A5004112885 @default.
- W4302303887 creator A5016397356 @default.
- W4302303887 creator A5018898425 @default.
- W4302303887 creator A5026096375 @default.
- W4302303887 creator A5028610776 @default.
- W4302303887 creator A5029792396 @default.
- W4302303887 creator A5045149653 @default.
- W4302303887 creator A5046542915 @default.
- W4302303887 creator A5052012133 @default.
- W4302303887 creator A5052793263 @default.
- W4302303887 creator A5059457285 @default.
- W4302303887 creator A5066288668 @default.
- W4302303887 creator A5070955009 @default.
- W4302303887 creator A5072833206 @default.
- W4302303887 creator A5076341969 @default.
- W4302303887 creator A5078806125 @default.
- W4302303887 creator A5084779468 @default.
- W4302303887 date "2022-10-06" @default.
- W4302303887 modified "2023-10-01" @default.
- W4302303887 title "Deep learning to infer visual acuity from optical coherence tomography in diabetic macular edema" @default.
- W4302303887 cites W1545259384 @default.
- W4302303887 cites W1549672311 @default.
- W4302303887 cites W1782108791 @default.
- W4302303887 cites W1977644809 @default.
- W4302303887 cites W1980342089 @default.
- W4302303887 cites W1982933555 @default.
- W4302303887 cites W1990374749 @default.
- W4302303887 cites W2050020278 @default.
- W4302303887 cites W2102463203 @default.
- W4302303887 cites W2176136391 @default.
- W4302303887 cites W2596043126 @default.
- W4302303887 cites W2616361514 @default.
- W4302303887 cites W2731899572 @default.
- W4302303887 cites W2772059204 @default.
- W4302303887 cites W2785047143 @default.
- W4302303887 cites W2803487511 @default.
- W4302303887 cites W2891994468 @default.
- W4302303887 cites W2904843285 @default.
- W4302303887 cites W2906996182 @default.
- W4302303887 cites W2913311753 @default.
- W4302303887 cites W2924173141 @default.
- W4302303887 cites W2935090763 @default.
- W4302303887 cites W2943809429 @default.
- W4302303887 cites W2950278227 @default.
- W4302303887 cites W2984413259 @default.
- W4302303887 cites W3011337925 @default.
- W4302303887 cites W3012096120 @default.
- W4302303887 cites W3045394076 @default.
- W4302303887 cites W4206382336 @default.
- W4302303887 cites W4299436089 @default.
- W4302303887 doi "https://doi.org/10.3389/fmed.2022.1008950" @default.
- W4302303887 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36275805" @default.
- W4302303887 hasPublicationYear "2022" @default.
- W4302303887 type Work @default.
- W4302303887 citedByCount "1" @default.
- W4302303887 countsByYear W43023038872023 @default.
- W4302303887 crossrefType "journal-article" @default.
- W4302303887 hasAuthorship W4302303887A5004112885 @default.
- W4302303887 hasAuthorship W4302303887A5016397356 @default.
- W4302303887 hasAuthorship W4302303887A5018898425 @default.
- W4302303887 hasAuthorship W4302303887A5026096375 @default.
- W4302303887 hasAuthorship W4302303887A5028610776 @default.
- W4302303887 hasAuthorship W4302303887A5029792396 @default.
- W4302303887 hasAuthorship W4302303887A5045149653 @default.
- W4302303887 hasAuthorship W4302303887A5046542915 @default.
- W4302303887 hasAuthorship W4302303887A5052012133 @default.
- W4302303887 hasAuthorship W4302303887A5052793263 @default.
- W4302303887 hasAuthorship W4302303887A5059457285 @default.
- W4302303887 hasAuthorship W4302303887A5066288668 @default.
- W4302303887 hasAuthorship W4302303887A5070955009 @default.
- W4302303887 hasAuthorship W4302303887A5072833206 @default.
- W4302303887 hasAuthorship W4302303887A5076341969 @default.
- W4302303887 hasAuthorship W4302303887A5078806125 @default.
- W4302303887 hasAuthorship W4302303887A5084779468 @default.
- W4302303887 hasBestOaLocation W43023038871 @default.
- W4302303887 hasConcept C118487528 @default.
- W4302303887 hasConcept C119767625 @default.
- W4302303887 hasConcept C126322002 @default.
- W4302303887 hasConcept C134018914 @default.
- W4302303887 hasConcept C141071460 @default.
- W4302303887 hasConcept C167135981 @default.
- W4302303887 hasConcept C2778257484 @default.
- W4302303887 hasConcept C2778818243 @default.
- W4302303887 hasConcept C2779829184 @default.
- W4302303887 hasConcept C2780347916 @default.
- W4302303887 hasConcept C555293320 @default.
- W4302303887 hasConcept C58471807 @default.
- W4302303887 hasConcept C71924100 @default.
- W4302303887 hasConcept C72563966 @default.
- W4302303887 hasConceptScore W4302303887C118487528 @default.
- W4302303887 hasConceptScore W4302303887C119767625 @default.
- W4302303887 hasConceptScore W4302303887C126322002 @default.
- W4302303887 hasConceptScore W4302303887C134018914 @default.
- W4302303887 hasConceptScore W4302303887C141071460 @default.
- W4302303887 hasConceptScore W4302303887C167135981 @default.
- W4302303887 hasConceptScore W4302303887C2778257484 @default.
- W4302303887 hasConceptScore W4302303887C2778818243 @default.
- W4302303887 hasConceptScore W4302303887C2779829184 @default.