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

Not Applicable

• Conditions: Cataract; Postoperative Complications; Artificial Intelligence

• Registration Number: NCT04138771
• Lead Sponsor: Sun Yat-sen University

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.

Detailed Description

Not available

Study Timeline

• Study Start: 2013-01-01
• Study First Submitted: 2019-10-23
• Study First Submitted QC: 2019-10-23
• Study First Posted: 2019-10-24
• Status Verified: 2019-12
• Last Update Submitted: 2019-12-01
• Last Update Posted: 2019-12-03
• Primary Completion: 2020-03-01
• Study Completion: 2020-03-01

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 300

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.

Exclusion Criteria

Not provided

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Primary Outcome Measures

Name	Time	Method
The proportion of accurate, mistaken and miss detection of this artificial intelligence diagnostic system.	Up to 7 years

Trial Locations

Locations (1)

Zhongshan Ophthalmic Center, Sun Yat-sen University; 🇨🇳 Guangzhou, Guangdong, China