# Deep Learning Algorithm for Detecting Obstructive Coronary Artery Disease Using Fundus Photographs

> **NCT06102226** · — · UNKNOWN · sponsor: **Yong Zeng** · enrollment: 7000 (estimated)

## Conditions studied

- Coronary Artery Disease
- Artificial Heart Device User

## Interventions

- **DIAGNOSTIC_TEST:** coronary artery imaging (coronary CTA or coronary angiography)

## Key facts

- **NCT ID:** NCT06102226
- **Lead sponsor:** Yong Zeng
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2021-07-01
- **Primary completion:** 2024-08-01
- **Final completion:** 2024-12-30
- **Target enrollment:** 7000 (ESTIMATED)
- **Last updated:** 2023-10-26


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06102226

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06102226, "Deep Learning Algorithm for Detecting Obstructive Coronary Artery Disease Using Fundus Photographs". Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/clinical/NCT06102226. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*