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

Sponsor
Sun Yat-sen University (Other)
Overall Status
Unknown status
CT.gov ID
NCT04138771
Collaborator
Ministry of Health, China (Other), Xidian University (Other)
300
1
1
85.9
3.5

Study Details

Study Description

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.

Condition or Disease Intervention/Treatment Phase
  • Device: An artificial intelligence system for postoperative management of cataract patients
N/A

Study Design

Study Type:
Interventional
Anticipated Enrollment :
300 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Diagnostic
Official Title:
Validation of an Artificial Intelligence System for Postoperative Management of Cataract Patients: A Clinical Trial
Study Start Date :
Jan 1, 2013
Anticipated Primary Completion Date :
Mar 1, 2020
Anticipated Study Completion Date :
Mar 1, 2020

Arms and Interventions

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.

Outcome Measures

Primary Outcome Measures

  1. The proportion of accurate, mistaken and miss detection of this artificial intelligence diagnostic system. [Up to 7 years]

Eligibility Criteria

Criteria

Ages Eligible for Study:
N/A and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
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.

Contacts and Locations

Locations

Site City State Country Postal Code
1 Zhongshan Ophthalmic Center, Sun Yat-sen University Guangzhou Guangdong China 510060

Sponsors and Collaborators

  • Sun Yat-sen University
  • Ministry of Health, China
  • Xidian University

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Haotian Lin, Clinical Professor, Sun Yat-sen University
ClinicalTrials.gov Identifier:
NCT04138771
Other Study ID Numbers:
  • CCPMOH2019-China-5
First Posted:
Oct 24, 2019
Last Update Posted:
Dec 3, 2019
Last Verified:
Dec 1, 2019
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Haotian Lin, Clinical Professor, Sun Yat-sen University
Additional relevant MeSH terms:

Study Results

No Results Posted as of Dec 3, 2019