Unknown OBSERVATIONAL NCT04242108

Diagnostic Performance of Deep Learning for Angle Closure

Diagnostic Performance of Deep Convolutional Neural Networks for Angle Closure Glaucoma: an International Multicenter Study

Sponsor: Sun Yat-sen University

Conditions Angle Closure Glaucoma

Interventions Deep learning algorithm based on AS-OCT scans

Updated 8 times since 2020 Last updated: Apr 3, 2021 Started: Jan 15, 2019 Primary completion: Dec 31, 2021 Completion: Mar 31, 2022

This information is for research purposes only and is not medical advice. Consult a healthcare provider before making any medical decision.

This observational or N/A phase trial investigates Angle Closure Glaucoma and is currently ongoing. Sun Yat-sen University leads this study, which shows 8 recorded versions since 2019 — indicating limited longitudinal coverage. The change history captured here reflects the iterative nature of clinical trial conduct.

Status Flow

Change History

8 versions recorded

Sep 2024 — Present [monthly]

Unknown
Jul 2024 — Sep 2024 [monthly]

Unknown

Status: Unknown Status → Unknown
May 2023 — Jul 2024 [monthly]

Unknown Status

Status: Active Not Recruiting → Unknown Status
May 2021 — May 2023 [monthly]

Active Not Recruiting
Apr 2021 — May 2021 [monthly]

Active Not Recruiting

Status: Recruiting → Active Not Recruiting

▶ Show 3 earlier versions

Jan 2021 — Apr 2021 [monthly]

Recruiting
Nov 2020 — Jan 2021 [monthly]

Recruiting
Feb 2020 — Nov 2020 [monthly]

Recruiting

First recorded

Jan 2019

Trial started

Per CT.gov start date — pre-dates our first snapshot

Eligibility Summary

No eligibility information available.

Contact Information

Sponsor contact:

Sun Yat-sen University

Data source: Sun Yat-sen University

For direct contact, visit the study record on ClinicalTrials.gov .

Study Locations

• Guangzhou, China