Artificial intelligence-supported diabetic retinopathy screening in Tanzania: rationale and design of a randomised controlled trial.

ABSTRACT:

Introduction

Globally, diabetic retinopathy (DR) is a major cause of blindness. Sub-Saharan Africa is projected to see the largest proportionate increase in the number of people living with diabetes over the next two decades. Screening for DR is recommended to prevent sight loss; however, in many low and middle-income countries, because of a lack of specialist eye care staff, current screening services for DR are not optimal. The use of artificial intelligence (AI) for DR screening, which automates the grading of retinal photographs and provides a point-of-screening result, offers an innovative potential solution to improve DR screening in Tanzania.

Methods and analysis

We will test the hypothesis that AI-supported DR screening increases the proportion of persons with true r

SUBMITTER: Cleland CR 

PROVIDER: S-EPMC10824006 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature