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

Sun Yat-sen University300 enrolled

Overview

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.

Study Type

INTERVENTIONAL

Allocation

Purpose

DIAGNOSTIC

Masking

NONE

Enrollment

300

Conditions

Cataract Postoperative Complications Artificial Intelligence

Interventions

An artificial intelligence system for postoperative management of cataract patientsDEVICE

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

Eligibility

Sex: ALL

Medical Language ↔ Plain English

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.

Locations (1)

Zhongshan Ophthalmic Center, Sun Yat-sen University

Guangzhou, Guangdong, China

RECRUITING

Outcomes

Primary Outcomes

The proportion of accurate, mistaken and miss detection of this artificial intelligence diagnostic system.

Time frame: Up to 7 years

Data from ClinicalTrials.gov

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