Diabetic retinopathy: Looking forward to 2030
Diabetic retinopathy (DR) is the major ocular complication of diabetes mellitus, and is a
problem with significant global health impact. Major advances in diagnostics, technology …
problem with significant global health impact. Major advances in diagnostics, technology …
[HTML][HTML] Quantitative approaches in multimodal fundus imaging: state of the art and future perspectives
A Arrigo, E Aragona, MB Parodi, F Bandello - Progress in Retinal and Eye …, 2023 - Elsevier
When it first appeared, multimodal fundus imaging revolutionized the diagnostic workup and
provided extremely useful new insights into the pathogenesis of fundus diseases. The recent …
provided extremely useful new insights into the pathogenesis of fundus diseases. The recent …
[HTML][HTML] AI-based monitoring of retinal fluid in disease activity and under therapy
U Schmidt-Erfurth, GS Reiter, S Riedl… - Progress in retinal and …, 2022 - Elsevier
Retinal fluid as the major biomarker in exudative macular disease is accurately visualized by
high-resolution three-dimensional optical coherence tomography (OCT), which is used …
high-resolution three-dimensional optical coherence tomography (OCT), which is used …
Optical coherence tomography in the management of diabetic macular oedema
Diabetic macular oedema (DMO) is the major cause of visual impairment in people with
diabetes. Optical coherence tomography (OCT) is now the most widely used modality to …
diabetes. Optical coherence tomography (OCT) is now the most widely used modality to …
[HTML][HTML] Optical coherence tomography classification systems for Diabetic Macular Edema and their associations with visual outcome and treatment responses–an …
Optical coherence tomography (OCT) is an invaluable imaging tool in detecting and
assessing diabetic macular edema (DME). Over the past decade, there have been different …
assessing diabetic macular edema (DME). Over the past decade, there have been different …
Analysis of fluid volume and its impact on visual acuity in the fluid study as quantified with deep learning
Purpose: To investigate quantitative differences in fluid volumes between subretinal fluid
(SRF)–tolerant and SRF-intolerant treat-and-extend regimens for neovascular age-related …
(SRF)–tolerant and SRF-intolerant treat-and-extend regimens for neovascular age-related …
A multitask deep-learning system to classify diabetic macular edema for different optical coherence tomography devices: a multicenter analysis
OBJECTIVE Diabetic macular edema (DME) is the primary cause of vision loss among
individuals with diabetes mellitus (DM). We developed, validated, and tested a deep …
individuals with diabetes mellitus (DM). We developed, validated, and tested a deep …
Artificial intelligence in retinal imaging: current status and future prospects
KA Heger, SM Waldstein - Expert review of medical devices, 2024 - Taylor & Francis
Introduction The steadily growing and aging world population, in conjunction with
continuously increasing prevalences of vision-threatening retinal diseases, is placing an …
continuously increasing prevalences of vision-threatening retinal diseases, is placing an …
Automated quantitative assessment of retinal fluid volumes as important biomarkers in neovascular age-related macular degeneration
Purpose To evaluate retinal fluid volume data extracted from optical coherence tomography
(OCT) scans by artificial intelligence algorithms in the treatment of neovascular age-related …
(OCT) scans by artificial intelligence algorithms in the treatment of neovascular age-related …
Validation and clinical applicability of whole-volume automated segmentation of optical coherence tomography in retinal disease using deep learning
Importance Quantitative volumetric measures of retinal disease in optical coherence
tomography (OCT) scans are infeasible to perform owing to the time required for manual …
tomography (OCT) scans are infeasible to perform owing to the time required for manual …