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The current study is aimed at estimating the diagnostic effectiveness of a developed convolutional neural network (CNN) "RetinAIcheck" in grading the severity of hypertensive retinopathy in patients of the Russian population.
The training data set was obtained from an open source and relabeled by seven independent retina specialists, the sample size was 30,000 fundus photographs. The test sample included 729 patients (1401 eyes) with HR. The reference standard was the result of independent grading of HR stage by two ophthalmologists, controversial clinical cases were evaluated with the involvement of a third ophthalmologist.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Class 1 hypertensive retinopathy |
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| Class 2 hypertensive retinopathy |
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| Class 3 hypertensive retinopathy |
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| Class 3+4 hypertensive retinopathy |
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| Class 0 without signs of hypertensive retinopathy |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Convolutional neural network "RetinAIcheck" | Diagnostic Test | A convolutional neural network is a medical decision support system that processes digital fundus photographs obtained during mydriasis and determines the probability of the presence/absence of hypertensive retinopathy and it's grading due to Keith Wagener Barker's classification. |
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy | The ability of a test to correctly identify the proportion of true positive cases | The ability to correctly identify the presence or absence of condition |
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity | The ability of a test to correctly identify the proportion of true positive cases | February 2026 |
| Specificity | The ability of a test to correctly identify the proportion of true negative cases |
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Inclusion Criteria:
- The presence of a diagnosis of hypertension in the patient's electronic medical record.
Exclusion Criteria:
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The test sample was collected at the Cardiology Clinic of the Sechenov University Clinical Hospital № 1, at the Research Institute of Eye Diseases named after M.M. Krasnov and in the Moscow Regional Clinical Research Institute named after M.F. Vladimirsky (MONIKI).
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| Name | Affiliation | Role |
|---|---|---|
| Philipp Yu Kopylov, Prof. | Sechenov First Moscow State Medical University (Sechenov University) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Clinical Hospital №1, Sechenov University | Moscow | Russia |
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| Label | URL |
|---|---|
| Related Info | View source |
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Data used in the research project is not openly available, but can be provided upon request to the principal investigator.
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| ID | Term |
|---|---|
| D058437 | Hypertensive Retinopathy |
| ID | Term |
|---|---|
| D012164 | Retinal Diseases |
| D005128 | Eye Diseases |
| D006973 | Hypertension |
| D014652 | Vascular Diseases |
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|
| February 2026 |
| D002318 |
| Cardiovascular Diseases |