Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study.

ABSTRACT:

Purpose

Real-world evaluation of a deep learning model that prioritizes patients based on risk of progression to moderate or worse (MOD+) diabetic retinopathy (DR).

Methods

This nonrandomized, single-arm, prospective, interventional study included patients attending DR screening at four centers across Thailand from September 2019 to January 2020, with mild or no DR. Fundus photographs were input into the model, and patients were scheduled for their subsequent screening from September 2020 to January 2021 in order of predicted risk. Evaluation focused on model sensitivity, defined as correctly ranking patients that developed MOD+ within the first 50% of subsequent screens.

Results

We analyzed 1,757 patients, of which 52 (3.0%) developed MOD+. Using the model-proposed o

SUBMITTER: Bora A 

PROVIDER: S-EPMC10715315 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature