Background Deep learning offers considerable promise for medical diagnostics. We aimed
to evaluate the diagnostic accuracy of deep learning algorithms versus health-care …

Recent improvements in ophthalmic imaging have led to the identification of a thickened
choroid or pachychoroid to be associated with a number of retinal diseases. The number of …

Progression to exudative 'wet'age-related macular degeneration (exAMD) is a major cause
of visual deterioration. In patients diagnosed with exAMD in one eye, we introduce an …

Background Deep learning has the potential to transform health care; however, substantial
expertise is required to train such models. We sought to evaluate the utility of automated …

A number of large technology companies have created code-free cloud-based platforms that
allow researchers and clinicians without coding experience to create deep learning …

Purpose To apply a deep learning algorithm for automated, objective, and comprehensive
quantification of optical coherence tomography (OCT) scans to a large real-world dataset of …

Purpose To evaluate the predictive usefulness of quantitative imaging biomarkers, acquired
automatically from OCT scans, of cross-sectional and future visual outcomes of patients with …

Importance Although multiple imputation models for missing data and the use of mixed-
effects models generally provide better outcome estimates than using only observed data or …

Purpose Neovascular age-related macular degeneration (nAMD) is a major global cause of
blindness. Whilst anti-vascular endothelial growth factor (anti-VEGF) treatment is effective …

Objectives To analyse treatment outcomes and share clinical data from a large, single-
centre, well-curated database (8174 eyes/6664 patients with 120 756 single entries) of …