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

NCT ID: NCT04138771

Last Updated: 2019-12-03

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

300 participants

Study Classification

INTERVENTIONAL

Study Start Date

2013-01-01

Study Completion Date

2020-03-01

Brief Summary

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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

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Conditions

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Cataract Postoperative Complications Artificial Intelligence

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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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.

Group Type EXPERIMENTAL

An artificial intelligence system for postoperative management of cataract patients

Intervention Type DEVICE

This system can detect multiple postoperative complications of cataract patients and then provide a management strategy.

Interventions

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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.

Intervention Type DEVICE

Eligibility Criteria

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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.
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Ministry of Health, China

OTHER_GOV

Sponsor Role collaborator

Xidian University

OTHER

Sponsor Role collaborator

Sun Yat-sen University

OTHER

Sponsor Role lead

Responsible Party

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Haotian Lin

Clinical Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Zhongshan Ophthalmic Center, Sun Yat-sen University

Guangzhou, Guangdong, China

Site Status RECRUITING

Countries

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China

Facility Contacts

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Haotian Lin, M.D., Ph.D

Role: primary

8613802793086

Xiaohang Wu, M.D., Ph.D

Role: backup

8615913177657

Other Identifiers

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CCPMOH2019-China-5

Identifier Type: -

Identifier Source: org_study_id

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