Empowering Portable Age-Related Macular Degeneration Screening: Evaluation of a Deep Learning Algorithm for a Smartphone Fundus Camera

Evaluation of an AI algorithm trained on an ethnically diverse dataset to screen a previously unseen population for diabetic retinopathy

Prospective validation of AI-Driven Fundus Camera: A paradigm shift in Referable AMD Screening

Integration of smartphone technology and artificial intelligence for advanced ophthalmic care: A systematic review

Application of optimized Deep Learning mechanism for recognition and categorization of retinal diseases

Transparency in AI reporting in Ophthalmology A Scoping Review

Real world evaluation of smartphone-based artificial intelligence to screen for diabetic retinopathy in Dominica: a clinical validation study

Diagnostic accuracy of Automated Diabetic Retinopathy Image Assessment Softwares: IDx-DR and Medios-AI

Diagnostic test accuracy of artificial intelligence in screening for referable diabetic retinopathy in realworld settings: A systematic review and metaanalysis

Development and Validation of an Artificial Intelligence based Screening Tool for Detection of Retinopathy of Prematurity (ROP) in a South Indian population