Disclaimer: This site aggregates publicly available data from official government sources (FDA, ClinicalTrials.gov, PubMed, SEC EDGAR, NMPA) for general reference only. It does NOT constitute medical advice, diagnosis, treatment recommendations, or investment advice.

PubMed

Artificial Intelligence-Based Medical Devices for Diabetic Retinopathy Screening in the European Union.

PMID: 41618067 · 2026

JournalOphthalmology and therapy
Year2026
PMID41618067

Abstract

Diabetic retinopathy (DR) remains a leading cause of preventable blindness, yet screening programs across Europe face persistent workforce and capacity constraints amid rising diabetes prevalence. Artificial intelligence (AI)-enabled screening platforms have been developed to support scalable DR detection; however, their regulatory status, validation approaches, and implementation readiness vary considerably. We conducted a targeted scoping review of 13 CE-certified AI systems for autonomous or

Official Source

View on PubMed →

Data sourced from PubMed / NCBI. For the full text and most current information, always refer to the official record.