Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
1000000 participants
OBSERVATIONAL
2018-06-01
2020-10-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Retinal diseases diagnosed by artificial intelligence algorithm
Retinal diseases diagnosed by artificial intelligence algorithm
Retinal diseases diagnosed by artificial intelligence algorithm
An artificial intelligence algorithm was applied to diagnose referral diabetes retinopathy, referral age-related macular degeneration, referral possible glaucoma, pathological myopia, retinal vein occlusion, macular hole, macular epiretinal membrane, hypertensive retinopathy, myelinated fibers, retinitis pigmentosa and other retinal lesions from fundus photography.
Interventions
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Retinal diseases diagnosed by artificial intelligence algorithm
An artificial intelligence algorithm was applied to diagnose referral diabetes retinopathy, referral age-related macular degeneration, referral possible glaucoma, pathological myopia, retinal vein occlusion, macular hole, macular epiretinal membrane, hypertensive retinopathy, myelinated fibers, retinitis pigmentosa and other retinal lesions from fundus photography.
Eligibility Criteria
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Inclusion Criteria
* complete identification information
Exclusion Criteria
18 Years
80 Years
ALL
Yes
Sponsors
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Beijing Tulip Partner Technology Co., Ltd, China
UNKNOWN
Beijing Tongren Hospital
OTHER
Responsible Party
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Principal Investigators
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Wenbin Wei
Role: STUDY_CHAIR
Beijing Tongren Hospital
Locations
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Wen-Bin Wei
Beijing, Beijing Municipality, China
Countries
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Other Identifiers
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AI in retinal diseases
Identifier Type: -
Identifier Source: org_study_id
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