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

Sun Yat-sen University1 site in 1 country300 target enrollmentJanuary 1, 2013

ConditionsCataract Postoperative Complications Artificial Intelligence

Overview

Phase: Not Applicable
Intervention: Not specified
Conditions: Cataract
Sponsor: Sun Yat-sen University
Enrollment: 300
Locations: 1
Primary Endpoint: The proportion of accurate, mistaken and miss detection of this artificial intelligence diagnostic system.
Last Updated: 6 years ago

Overview Investigators Eligibility Criteria Outcomes Sites Similar Trials

Overview

Brief Summary

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.

Registry

clinicaltrials.gov

Start Date

January 1, 2013

End Date

March 1, 2020

Last Updated

6 years ago

Study Type

Interventional

Study Design

Single Group

Sex

All

Investigators

Sponsor

Sun Yat-sen University

Responsible Party

Principal Investigator

Haotian Lin

Clinical Professor

Sun Yat-sen University

Eligibility Criteria

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.