Expansion of Integrated AI Solution for Diabetic Retinopathy Screening in Thailand
NCT ID: NCT05527535
Last Updated: 2022-09-02
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
34500 participants
OBSERVATIONAL
2022-10-03
2023-09-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Study Groups
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AI screening group
Diabetes mellitus patients undergo diabetic retinopathy screening by AI
Diabetic retinopathy screening by artificial intelligence
Screening diabetic patients' eyes with AI through digital health platform
Manual screening group
Diabetes mellitus patients undergo diabetic retinopathy screening by health care personnel
Diabetic retinopathy screening by healthcare personnel
Screening diabetic patients' eyes by conventional method (healthcare personnel)
Interventions
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Diabetic retinopathy screening by artificial intelligence
Screening diabetic patients' eyes with AI through digital health platform
Diabetic retinopathy screening by healthcare personnel
Screening diabetic patients' eyes by conventional method (healthcare personnel)
Eligibility Criteria
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Inclusion Criteria
2. No full-time ophthalmologists in those primary hospital
3. Age more than or equal to 18 years
4. Eligible for fundus photo imaging at least 1 eye
Exclusion Criteria
2. Patients who previously diagnosed with other causes of macular edema, for example, Age-related Macular Degeneration, Radiation Retinopathy, Retinal Vein Occlusion etc.
3. History of retinal laser or surgery
4. Other ocular diseases that require referral to ophthalmologists
5. Not eligible for fundus photo imaging for both eyes (any causes)
18 Years
ALL
No
Sponsors
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Health Systems Research Institute,Thailand
OTHER_GOV
Department of Medical Services Ministry of Public Health of Thailand
OTHER_GOV
Responsible Party
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Central Contacts
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Other Identifiers
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65057
Identifier Type: -
Identifier Source: org_study_id
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