Artificial Intelligence-assisted Glaucoma Screening (AIAGS)
NCT ID: NCT03682783
Last Updated: 2018-09-25
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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UNKNOWN
8000 participants
OBSERVATIONAL
2018-10-01
2021-10-30
Brief Summary
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Detailed Description
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China has a population of 1.3 billion, which greatly increase the difficulty of disease screening. In recent years, the intersection of artificial intelligence (AI) technology and modern medicine has made efficient and rapid disease screening possible.
Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Study Groups
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Fundus Image
Glaucomatous and Non-glaucomatous fundus images that have been taken from the last 5 years in Shanghai General hospital.
Fundus Image
Fundus image of optic nerve
Interventions
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Fundus Image
Fundus image of optic nerve
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
ALL
Yes
Sponsors
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Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
OTHER
Responsible Party
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Haiyan Wang
Attending of Ophthalmology, M.D. Ph.D.
Principal Investigators
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Haiyan Wang, Ph.D.
Role: PRINCIPAL_INVESTIGATOR
Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Locations
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Shanghai General Hospital
Shanghai, Shanghai Municipality, China
Countries
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Central Contacts
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Other Identifiers
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81300776
Identifier Type: -
Identifier Source: org_study_id
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