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Dataset Information

Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases.


ABSTRACT:

Importance

The lack of experienced ophthalmologists limits the early diagnosis of retinal diseases. Artificial intelligence can be an efficient real-time way for screening retinal diseases.

Objective

To develop and prospectively validate a deep learning (DL) algorithm that, based on ocular fundus images, recognizes numerous retinal diseases simultaneously in clinical practice.

Design, setting, and participants

This multicenter, diagnostic study at 65 public medical screening centers and hospitals in 19 Chinese provinces included individuals attending annual routine medical examinations and participants of population-based and community-based studies.

Exposures

Based on 120 002 ocular fundus photographs, the Retinal Artificial Intelligence Diagnosis System (RAID

SUBMITTER: Dong L 

PROVIDER: S-EPMC9066285 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature