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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04138771
Other study ID # CCPMOH2019-China-5
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date January 1, 2013
Est. completion date March 1, 2020

Study information

Verified date December 2019
Source Sun Yat-sen University
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial 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.


Recruitment information / eligibility

Status Recruiting
Enrollment 300
Est. completion date March 1, 2020
Est. primary completion date March 1, 2020
Accepts healthy volunteers No
Gender All
Age group N/A and older
Eligibility 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 Design


Intervention

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.

Locations

Country Name City State
China Zhongshan Ophthalmic Center, Sun Yat-sen University Guangzhou Guangdong

Sponsors (3)

Lead Sponsor Collaborator
Sun Yat-sen University Ministry of Health, China, Xidian University

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Primary The proportion of accurate, mistaken and miss detection of this artificial intelligence diagnostic system. Up to 7 years
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