Artificial Intelligence-assisted Glaucoma Screening (AIAGS)

September 21, 2018 updated by: Haiyan Wang, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine

The Development of Artificial Intelligence-assisted Glaucoma Screening Program

This study will develop an artificial intelligence (AI) program for the screening of glaucoma.

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Detailed Description

We have realized that the glaucomatous optic neuropathy is irreversible. But if early detection and early intervention can be performed to control the development of the disease, it can greatly reduce the blindness rate of glaucoma, improve the life quality and physiological and mental health of patients, and alleviate the social burden. Therefore, screening and early diagnosis of glaucoma is the focus of glaucoma prevention.

China has a population of 1.3 billion, which greatly increase the difficulty of disease screening. In recent years, the intersection of artificial intelligence (AI) technology and modern medicine has made efficient and rapid disease screening possible.

Study Type

Observational

Enrollment (Anticipated)

8000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

  • China
    • Shanghai
      • Shanghai, Shanghai, China, 200080
        • Shanghai General Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • ADULT
  • OLDER_ADULT
  • CHILD

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Both glaucoma and non-glaucoma patients who can complete fundus image test will be enrolled.

Description

Inclusion Criteria:

  • able to complete fundus images

Exclusion Criteria:

  • unable to complete fundus images

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Fundus Image
Glaucomatous and Non-glaucomatous fundus images that have been taken from the last 5 years in Shanghai General hospital.
Diagnostic test: Fundus Image
Fundus image of optic nerve

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The specificity of the algorithm for diagnosing glaucoma
Time Frame: from January 2020 to March 2021
The specificity of the algorithm for diagnosing glaucoma will be calculated ...
from January 2020 to March 2021
The sensitivity of the algorithm for diagnosing glaucoma
Time Frame: from January 2020 to March 2021
The sensitivity of the algorithm for diagnosing glaucoma will be calculated .
from January 2020 to March 2021

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine

Investigators

  • Principal Investigator: Haiyan Wang, Ph.D., Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ANTICIPATED)

October 1, 2018

Primary Completion (ANTICIPATED)

October 1, 2020

Study Completion (ANTICIPATED)

October 30, 2021

Study Registration Dates

First Submitted

September 21, 2018

First Submitted That Met QC Criteria

September 21, 2018

First Posted (ACTUAL)

September 25, 2018

Study Record Updates

Last Update Posted (ACTUAL)

September 25, 2018

Last Update Submitted That Met QC Criteria

September 21, 2018

Last Verified

September 1, 2018

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 81300776

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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