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

NCT04138771 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 300

Last updated 2019-12-03

No results posted yet for this study

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.

Conditions

  • Cataract
  • Postoperative Complications
  • Artificial Intelligence

Interventions

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.

Sponsors & Collaborators

  • Ministry of Health, China

    collaborator OTHER_GOV

  • Xidian University

    collaborator OTHER

  • Sun Yat-sen University

    lead OTHER

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2013-01-01
Primary Completion
2020-03-01
Completion
2020-03-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04138771 on ClinicalTrials.gov