Deep Learning Algorithm Detects Presence of Disorganization of Retinal Inner Layers (DRIL)–An Early Imaging Biomarker in Diabetic Retinopathy

To develop and train a deep learning-based algorithm for detecting disorganization of retinal inner layers (DRIL) on optical coherence tomography (OCT) to screen a cohort of patients with diabetic retinopathy (DR). In this cross-sectional study, subjects over age 18, with ICD-9/10 diagnoses of type...

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Veröffentlicht in:	Translational vision science & technology Jg. 12; H. 7; S. 6
Hauptverfasser:	Singh, Rupesh, Singuri, Srinidhi, Batoki, Julia, Lin, Kimberly, Luo, Shiming, Hatipoglu, Dilara, Anand-Apte, Bela, Yuan, Alex
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States The Association for Research in Vision and Ophthalmology 06.07.2023
Schlagworte:	Adolescent Artificial Intelligence Biomarkers Cross-Sectional Studies Deep Learning Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - diagnostic imaging Diabetic Retinopathy - diagnostic imaging Fluorescein Angiography - methods Humans Retrospective Studies Tomography, Optical Coherence - methods Visual Acuity
ISSN:	2164-2591, 2164-2591
Online-Zugang:	Volltext
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