Validation of an Artificial Intelligence System for Postoperative Management of Cataract Patients

December 1, 2019 updated by: Haotian Lin, Sun Yat-sen University

Validation of an Artificial Intelligence System for Postoperative Management of Cataract Patients: A Clinical Trial

Cataract surgery is the current standard of management for cataract patients, which is typically succeeded by a postoperative follow-up schedule. Here, the investigators established and validated an artificial intelligence system to achieve automatic management of postoperative patients based on analyses of visual acuity, intraocular pressure and slit-lamp images. The management strategy can also change according to postoperative time.

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Anticipated)

300

Phase

  • Not Applicable

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

  • China
    • Guangdong
      • Guangzhou, Guangdong, China, 510060
        • Recruiting
        • Zhongshan Ophthalmic Center, Sun Yat-sen University
        • Contact:
        • Contact:

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

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Patients who had surgery of cataract extraction combined with introcular lens implantation.
  • Patients should be aware of the contents and signed for the informed consent.

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

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Eligible patients for AI test
Device: an artificial intelligence system for postoperative management of cataract patients. These patients are enrolled in primary healthcare units and the AI clinic at Zhongshan Ophthalmic Center.
Device: An artificial intelligence system for postoperative management of cataract patients
This system can detect multiple postoperative complications of cataract patients and then provide a management strategy.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
The proportion of accurate, mistaken and miss detection of this artificial intelligence diagnostic system.
Time Frame: Up to 7 years
Up to 7 years

Collaborators and Investigators

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

Sponsor

Sun Yat-sen University

Collaborators

Ministry of Health, China
Xidian University

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

January 1, 2013

Primary Completion (Anticipated)

March 1, 2020

Study Completion (Anticipated)

March 1, 2020

Study Registration Dates

First Submitted

October 23, 2019

First Submitted That Met QC Criteria

October 23, 2019

First Posted (Actual)

October 24, 2019

Study Record Updates

Last Update Posted (Actual)

December 3, 2019

Last Update Submitted That Met QC Criteria

December 1, 2019

Last Verified

December 1, 2019

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • CCPMOH2019-China-5

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

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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