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 …

Methods: Data from the Vienna Imaging Biomarker Eye Study (VIBES, 2007–2018) were
analyzed. Databases were filtered for treatment-naive neovascular age-related macular …

Purpose To evaluate the predictive ability of a deep learning-based algorithm to determine
long-term best-corrected distance visual acuity (BCVA) outcomes in neovascular age …

Purpose: To develop a reliable algorithm for the automated identification, localization, and
volume measurement of exudative manifestations in neovascular age-related macular …

The retinal world has been revolutionized by optical coherence tomography (OCT) and anti-
vascular endothelial growth factor (VEGF) therapy. The numbers of intravitreal injections are …

Purpose To evaluate the reliability of automated fluid detection in identifying retinal fluid
activity in OCT scans of patients treated with anti-VEGF therapy for neovascular age-related …

Purpose: To investigate quantitative differences in fluid volumes between subretinal fluid
(SRF)–tolerant and SRF-intolerant treat-and-extend regimens for neovascular age-related …

Aim To predict antivascular endothelial growth factor (VEGF) treatment requirements, visual
acuity and morphological outcomes in neovascular age-related macular degeneration …

Introduction: In this retrospective cohort study, we wanted to evaluate the performance and
analyze the insights of an artificial intelligence (AI) algorithm in detecting retinal fluid in …

Aim To explore associations between artificial intelligence (AI)-based fluid compartment
quantifications and 12 months visual outcomes in OCT images from a real-world …