NCT04138771UnknownNot Applicable
Validation of an Artificial Intelligence System for Postoperative Management of Cataract Patients: A Clinical Trial
Sun Yat-sen University1 site in 1 country300 target enrollmentStarted: January 1, 2013Last updated:
Conditions
Trial Snapshot
- Phase
- Not Applicable
- Sponsor
- Enrollment
- 300
- Locations
- 1
- Primary Endpoint
- The proportion of accurate, mistaken and miss detection of this artificial intelligence diagnostic system.
Study Overview
Brief 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.
Study Design
- Study Type
- Interventional
- Allocation
- Na
- Intervention Model
- Single Group
- Primary Purpose
- Diagnostic
- Masking
- None
Eligibility Criteria
- Sex
- All
- Accepts Healthy Volunteers
- No
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.
Exclusion Criteria
- Not provided
Outcomes
Primary Outcomes
The proportion of accurate, mistaken and miss detection of this artificial intelligence diagnostic system.
Time Frame: Up to 7 years
Secondary Outcomes
No secondary outcomes reported
Investigators
Haotian Lin
Clinical Professor
Sun Yat-sen University
Study Sites (1)
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