SMART (artificial intelligence enabled) DROP (diabetic retinopathy outcomes and pathways): Study protocol for diabetic retinopathy management

Barriers and Determinants of Referral Adherence in AIEnabled Diabetic Retinopathy Screening for Older Adults in Northern India During the COVID19 Pandemic: Mixed Methods Pilot Study

Role of artificial intelligenceenabled handheld fundus camera for communitybased diabetic retinopathy screening

Enhancing comprehensive diabetic care: A smartphone fundus camera with an offline AIpowered diabetic retinopathy screening solution for physicians

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

Widefield imaging with smartphone based fundus camera: grading of severity of diabetic retinopathy and locating peripheral lesions in diabetic retinopathy

Efficacy of Smartphonebased Fundus Photo in Vision Threatening Diabetic Retinopathy Screening: Developing Country Perspective

Realworld evaluation of smartphonebased 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