# Real-time Artificial Intelligence System for Detecting Multiple Ocular Fundus Lesions by Ultra-widefield Fundus Imaging

> **NCT04859634** · — · UNKNOWN · sponsor: **Sun Yat-sen University** · enrollment: 2000 (estimated)

## Conditions studied

- Artificial Intelligence
- Diagnostic Imaging
- Abnormality of the Fundus
- Diagnostic Screening Programs

## Interventions

- **DEVICE:** Taking an ultra-widefield fundus image

## Key facts

- **NCT ID:** NCT04859634
- **Lead sponsor:** Sun Yat-sen University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2020-11-01
- **Primary completion:** 2022-02-01
- **Final completion:** 2022-12-25
- **Target enrollment:** 2000 (ESTIMATED)
- **Last updated:** 2021-04-26

## Collaborators

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## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT04859634

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT04859634, "Real-time Artificial Intelligence System for Detecting Multiple Ocular Fundus Lesions by Ultra-widefield Fundus Imaging". Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/clinical/NCT04859634. Licensed CC0.

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