Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Predicting Diabetic Retinopathy From Risk Factor Data and Digital Retinal Images

Charles Drew University of Medicine and Science · 2018
ClinicalTrials.gov · Datasets · License: Public Domain · 2018
Open Source ↗
diabetic-macular-edemadiabetic-retinopathy
The objective of this study is to compare the results of a deep learning approach to diabetic retinopathy assessment with results from (1) an in-person examination with an ophthalmologist, and (2) the assessments of optometrists involved in a teleretinal screening program.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1030645
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive