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

Sun Yat-sen University

Status: Unknown

Conditions: Postoperative Complications; Cataract; Artificial Intelligence

Treatments: Device: An artificial intelligence system for postoperative management of cataract patients

Study type: Interventional

Funder types: Other

Identifiers

NCT04138771

CCPMOH2019-China-5

Details and patient eligibility

About

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.

Enrollment: 300 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion and exclusion 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.

Trial design

Primary purpose: Diagnostic

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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300 participants in 1 patient group

Eligible patients for AI test

Experimental group

Description:

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.

Treatment:

Device: An artificial intelligence system for postoperative management of cataract patients