SMART (artificial intelligence enabled) DROP (diabetic retinopathy outcomes and pathways): Study protocol for diabetic retinopathy management
Barriers and Determinants of Referral Adherence in AI-Enabled Diabetic Retinopathy Screening for Older Adults in Northern India During the COVID19 Pandemic: Mixed Methods Pilot Study
Role of artificial intelligence enabled handheld fundus camera for community-based diabetic retinopathy screening
Enhancing comprehensive diabetic care: A smartphone fundus camera with an offline AIpowered diabetic retinopathy screening solution for physicians
Artificial intelligence for retinal diseases
Evaluation of an AI algorithm trained on an ethnically diverse dataset to screen a previously unseen population for diabetic retinopathy
Application of optimized Deep Learning mechanism for recognition and categorization of retinal diseases
Clinical utility of handheld fundus and smartphone-based camera for monitoring diabetic retinal diseases: a review study
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
