Validation of the Utility of Ophthalmology Intelligent Diagnostic System

October 17, 2019 updated by: Haotian Lin, Sun Yat-sen University

Validation of the Utility of Ophthalmology Intelligent Diagnostic System: A Clinical Trial

The prevention and treatment of diseases via artificial intelligence represents an ultimate goal in computational medicine. Application scenarios of the current medical algorithms are too simple to be generally applied to real-world complex clinical settings. Here, the investigators use "deep learning" and "visionome technique", an novel annotation method for artificial intelligence in medical, to create an automatic detection and classification system for four key clinical scenarios: 1) mass screening, 2) comprehensive clinical triage, 3) hyperfine diagnostic assessment, and 4) multi-path treatment planning. The investigator also establish a telemedicine system and conduct clinical trial and website-based study to validate its versatility.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

615

Contacts and Locations

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

Study Locations

    • Guangdong
      • Guangzhou, Guangdong, China, 510000
        • Zhongshan Ophthalmic Center, Sun Yat-sen University

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

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

A prospective study of patients and residents who use the web platform for diagnosis.

Description

Inclusion Criteria:

  • Patients and residents who underwent ophthalmic examination of the eye and recorded their ocular information in the outpatient clinic and community.

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
Eligible patients for AI test.
Device: ophthalmology diagnostic system. An artificial intelligence to make comprehensive evaluation and treatment decision of ocular diseases.
An artificial intelligence to make comprehensive evaluation and treatment decision of ocular diseases.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
The proportion of accurate, mistaken and miss detection of the ophthalmology diagnostic system.
Time Frame: Up to 5 years
Up to 5 years

Collaborators and Investigators

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

Sponsor

Collaborators

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

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 (Actual)

April 1, 2018

Primary Completion (Actual)

August 31, 2019

Study Completion (Actual)

August 31, 2019

Study Registration Dates

First Submitted

April 11, 2018

First Submitted That Met QC Criteria

April 11, 2018

First Posted (Actual)

April 17, 2018

Study Record Updates

Last Update Posted (Actual)

October 21, 2019

Last Update Submitted That Met QC Criteria

October 17, 2019

Last Verified

October 1, 2019

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • CCPMOH2018-China-2

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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